Suchergebnisse - Bio-computational modeling

Bio-computational modeling, POM analysis and molecular dynamic simulation for novel synthetic quinolone and benzo[d][1,3]oxazine candidates as antimicrobial inhibitors

Autoren: Doaa A. Elsayed Mohamed E. Abdu Mohammed A. Marzouk et al.

Quelle: Sci Rep
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)

Schlagwörter: 0301 basic medicine, Quinolone, Molecular dynamic simulation, Science, POM analysis, Microbial Sensitivity Tests, Quinolones, Molecular Dynamics Simulation, 01 natural sciences, Article, Bio-computational modeling, Benzoxazines, Anti-Bacterial Agents, 0104 chemical sciences, Molecular Docking Simulation, 03 medical and health sciences, Anti-Infective Agents, Medicine, Humans, Antimicrobial

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39567581
https://doaj.org/article/6345775f821146a79abdf0bbe246664d

Design, synthesis, biological evaluation, and bio-computational modeling of imidazo, thieno, pyrimidopyrimidine, pyrimidodiazepene, and motifs as antimicrobial agents

Autoren: El-Ahwany Maged F. Assy Mohamed G. Sherif Mohamed H. et al.

Quelle: Heterocyclic Communications, Vol 29, Iss 1, Pp 1494-501 (2023)

Schlagwörter: imidazopyrimidine, thienopyrimidine, pyrimidopyrimidine, pyrimidodiazepene, molecular docking, pom studies, Organic chemistry, QD241-441

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2191-0197

Zugangs-URL: https://doaj.org/article/e1a44a6950274726a710c121162d8087

Investigating Impact of Current Pulse Waveform and Simulation Frequency on Deep Brain Stimulation

Autoren: Enver Salkım

Quelle: Firat University Journal of Experimental and Computational Engineering, Vol 4, Iss 1, Pp 59-71 (2025)
Volume: 4, Issue: 159-71
Firat University Journal of Experimental and Computational Engineering

Schlagwörter: Biomedical Instrumentation, Biyo-hesaplamalı modelleme, Kapasitif etki, Derin beyin stimülasyonu, Simülasyon frekansı, Stimülasyon dalga formu, Deep brain stimulation, Bio-computational modelling, Capacitive effect, Simulation frequency, Stimulation waveform, simulation frequency, Bio-computational modelling, Capacitive effect, Deep brain stimulation, Simulation frequency, Stimulation waveform, derin beyin stimülasyonu, Hesaplamalı Fizyoloji, capacitive effect, Tıbbi Cihazlar, bio-computational modelling, deep brain stimulation, TK1-9971, Medical Devices, kapasitif etki, simülasyon frekansı, Biyomedikal Enstrümantasyon, biyo-hesaplamalı modelleme, Computational Physiology, Electrical engineering. Electronics. Nuclear engineering, stimulation waveform, stimülasyon dalga formu

Dateibeschreibung: application/pdf

Zugangs-URL: https://doaj.org/article/33d17d1fe9fa43fd808eaf1e2f1492d6
https://hdl.handle.net/20.500.12639/7211
https://dergipark.org.tr/tr/pub/fujece/issue/90445/1467198

Isolation by PCR of the coding gene of volkensin, a type 2 RIP from Adenia volkensii. Bio-computational analysis and molecular modeling

Autoren: Chambery A Monti MM Stirpe F et al.

Quelle: 47° Congresso Nazionale della Società Italiana di Biochimica e Biologia Molecolare, Palermo, 2002
info:cnr-pdr/source/autori:Chambery A, Monti M.M., Stirpe F., Parente A./congresso_nome:47° Congresso Nazionale della Società Italiana di Biochimica e Biologia Molecolare/congresso_luogo:Palermo/congresso_data:2002/anno:2002/pagina_da:/pagina_a:/intervallo_pagine

Zugangs-URL: http://www.cnr.it/prodotto/i/117574
https://publications.cnr.it/doc/117574
https://hdl.handle.net/20.500.14243/85089

Bio-computational modeling, POM analysis and molecular dynamic simulation for novel synthetic quinolone and benzo[d][1,3]oxazine candidates as antimicrobial inhibitors.

Autoren: Elsayed, Doaa A. Abdu, Mohamed E. Marzouk, Mohammed A. et al.

Quelle: Scientific Reports; 11/20/2024, Vol. 14 Issue 1, p1-19, 19p

Schlagwörter: MALEIC anhydride, AMINOBENZOIC acids, DYNAMIC simulation, ANTIBACTERIAL agents, MOLECULAR docking, OXAZINES

Paisajes bio-computacionales en el Humedal Jaboque ; Bio-Computational Landscapes in the Jaboque Wetland

Autoren: Robles Perea, Nicolas Acosta, Carlos Niño, Raul et al.

Weitere Verfasser: Robles Perea, Nicolas Acosta, Carlos Niño, Raul et al.

Schlagwörter: Paisajes bio-computacionales, Modelado basado en agentes (ABM), Simulación multi-escala, Humedal Jaboque, Interacciones ecológicas, Habitabilidad multiespecie, Fragmentación ecosistémica, Bio-computational landscapes, Agent-based modeling (ABM), Multi-scale simulation, Jaboque Wetland, Ecological interactions, Multi-species habitability, Ecosystem fragmentation, Arquitectura - Tesis y disertaciones académicas, Sistemas de información ambiental, Ecología

Geographisches Schlagwort: Colombia, Bogotá, D.C. (Bogotá, Colombia), Bogotá (Colombia)

Dateibeschreibung: PDF; application/pdf

Relation: https://hdl.handle.net/10554/70567; instname:Pontificia Universidad Javeriana; repourl:https://repository.javeriana.edu.co

Verfügbarkeit: https://hdl.handle.net/10554/70567

Restoration of Vision in Blindness Caused by Retinal or Optic Nerve Injury via the Hamzah Model

Autoren: JALALI, SEYED RASOUL

Schlagwörter: Hamzah Equation, ψ–Hamzah Model, vision restoration, blindness therapy, retinal regeneration, optic nerve repair, cortical visual plasticity, fractional calculus, fractal derivatives, quantum biology, neuroplasticity, neuro-regeneration, deep learning in medicine, reinforcement learning, Sobol sampling, genetic–neuronal modelling, quantum coherence, neural prosthesis, ophthalmology innovation, bioinformatics, OCT imaging, fMRI integration, DICOM data, biomedical simulation, adaptive fractal noise, quantum information synchronisation, nanoscale therapeutics, anti-cancer vaccine, anti-cancer medicine, Hamzah Python code, ultra-scale simulation, Monte Carlo scenarios, genetic mutations, drug resistance, clinical translation, neuro-bioinformatics, computational neuroscience, advanced biophysics, neural encoding, retinal implants, optogenetics, gene therapy, biomedical engineering, ophthalmic AI, ψ-based loss function, structural similarity index, perceptual modelling, cosine similarity, mean squared error, R² metric, adaptive loss fusion, early stopping, CUDA acceleration, GPU deep learning, parallel processing, multiprocessing, cloud-based neuroscience, big data ophthalmology, fractal memory, long-term memory modelling, non-local temporal dynamics, biophotonic fields, nanosynaptic matrices, quantum stabilisation, neuroprosthetics, virtual reality vision, ocular robotics, neurogenomics, zarr database, HDF5 storage, biomedical encryption, quantum cryptography, clinical deployment, biomedical ethics, regenerative quantum biology, ophthalmic nanomedicine, neuro-cybernetics, neural encoding repair, multi-modal fusion, perceptual field reconstruction, ocular pharmacology, neural vaccines, neuro-nanoparticles, computational ophthalmology, fractal neural networks, ψ–Hamzah vaccine, ψ–Hamzah therapy, ocular regenerative pipeline, adaptive data fusion, retinal prosthesis comparison, classical ophthalmic models, Hamzah superiority, infantile blindness, congenital blindness, cortical blindness, optic neuropathy, retinitis pigmentosa, macular degeneration, glaucoma vision loss, diabetic retinopathy, trauma-induced blindness, neurosurgical vision repair, synthetic bio-ophthalmology, deep fractional learning, hybrid bio-computation, machine vision restoration, medical nanotechnology, fractional-order systems, adaptive dynamical systems, ophthalmic deep networks, anti-blindness nanovaccine, bio-signal reconstruction, ψ-based cortical modelling, adaptive clinical AI, ocular biophysics, ψ–Hamzah resilience, error reduction, 99.99% efficacy, zero side-effects, one trillion scenarios, future contingencies, ψ–Hamzah validation, fractal quantum optics, biomedical systems theory, regenerative neurotherapy, precision ophthalmology, multi-objective optimisation, ψ neural decoding, ocular quantum coherence, ophthalmic data encryption, hospital-ready AI, fractal error correction, neuronal field mapping, ψ cortical connectivity, structural bioengineering, ψ fractal reinforcement learning, ψ synaptic field stabilisation, advanced tensor computation, ψ adaptive vaccine design, ψ pharmacological modelling, ψ high-fidelity imaging, ψ predictive bio-modelling, ψ real-time vision simulation, ψ multi-modal AI, ψ perceptual validation, ψ ocular dynamics, ψ–Hamzah bioinformatics, ψ computational fractals, ψ robust genetic modelling, ψ synthetic neuroplasticity, ψ cognitive resilience, ψ holographic bio-signals, ψ augmented cortical recovery, ψ ultra-precision computation, ψ–Hamzah ophthalmology, ψ fractional-order networks, ψ deep neuro-computation, ψ regenerative nanomedicine, ψ genetic fractal mapping, ψ predictive pharmacology, ψ ocular neural reinforcement, ψ–Hamzah adaptive framework, ψ ultra-scale validation, ψ cortical fusion, ψ ocular meta-learning, ψ regenerative dynamics, ψ–Hamzah cloud integration, ψ anti-cancer validation, ψ quantum vaccine resilience, ψ pharmacological nanocode, ψ holographic neurodynamics, ψ multi-scale ophthalmology, ψ ocular entropy reduction, ψ neuro-cyber resilience, ψ ocular nanobiology, ψ ocular predictive models, ψ–Hamzah multi-physics, ψ retinal holography, ψ ocular field stabilisation, ψ clinical quantum biology, ψ adaptive neurocryptography, ψ secure data ophthalmology, ψ–Hamzah cortical hologram, ψ computational holography, ψ fractional visual dynamics, ψ predictive neuronal fields, ψ multi-agent clinical AI, ψ biophotonic coherence, ψ retinal genomic therapy, ψ ocular deep reinforcement, ψ–Hamzah adaptive treatment, ψ neural holography, ψ fractal genetic sampling, ψ neuronal Sobol validation, ψ deep cortical stabilisation, ψ synthetic clinical AI, ψ predictive quantum ophthalmology, ψ ocular therapy validation, ψ adaptive blind recovery, ψ infantile blindness repair, ψ cortical trauma recovery, ψ quantum visual prosthesis, ψ genomic resilience, ψ therapeutic robustness, ψ AI ophthalmic validation, ψ ocular treatment superiority, ψ classical vs ψ comparison, ψ visual cortex emulation, ψ non-local vision processing, ψ holographic field restoration, ψ fractal cortical AI, ψ–Hamzah advanced treatment, ψ biophotonic field therapy, ψ ocular coherence dynamics, ψ deep biomedical encryption, ψ neuro-informatics validation, ψ fractional noise modelling, ψ high-dimensional ocular data, ψ personalised ophthalmology, ψ regenerative quantum optics, ψ holographic perceptual therapy, ψ ocular neural interfacing, ψ advanced ocular data fusion, ψ AI neuroplastic augmentation, ψ bio-computational resilience, ψ–Hamzah next-generation vision, ψ clinical implementation pipeline, ψ zero-error neurotherapy, ψ fully secure medical AI, ψ one trillion ophthalmic scenarios, ψ global blindness eradication, ψ advanced regenerative ophthalmology, ψ holistic neuro-regeneration, ψ cross-dimensional ophthalmology, ψ computational neuroplastic validation, ψ medical AI resilience, ψ neurophotonics, ψ fractal ophthalmic dynamics, ψ ocular predictive healing, ψ fractional-order ocular prosthesis, ψ regenerative neural holography, ψ biomedical validation platform, ψ integrated neuro-regenerative system, ψ high-fidelity perceptual AI, ψ visual cortex AI emulation, ψ molecular nanotherapy ophthalmology, ψ advanced clinical deployment, ψ deep multi-scale modelling, ψ neuronal holographic fields, ψ ocular error-correcting systems, ψ cortical coherence AI, ψ neuro-ophthalmic synergy, ψ field-corrective ophthalmology, ψ multi-objective regenerative medicine, ψ–Hamzah computational platform, ψ data integrity quantum, ψ–Hamzah advanced AI, ψ holographic recovery platform, ψ adaptive personalised medicine, ψ ocular AI ethics, ψ synthetic vision neurocode, ψ advanced blind repair simulation, ψ future-ready ophthalmology, ψ clinical neuroinformatics, ψ ocular holography dynamics, ψ–Hamzah clinical superiority, ψ anti-blindness vaccine, ψ full cortical vision recovery, ψ predictive ocular AI, ψ regenerative holistic model, ψ world-class ophthalmology innovation

Duchenne Muscular Dystrophy (DMD) Treatment via the ψ–Hamzah Model

Autoren: JALALI, SEYED RASOUL

Schlagwörter: Duchenne Muscular Dystrophy, DMD, ψ–Hamzah, Hamzah Equation, dystrophin, muscular dystrophy, muscle degeneration, muscle regeneration, genetic mutation, X-linked disorder, neuromuscular disease, fractional calculus, fractal theory, fractional derivatives, quantum biology, computational biology, mathematical modeling, advanced therapy, gene therapy alternatives, dystrophin restoration, peptide therapy, nanomedicine, nanoparticle carriers, RNA therapeutics, DNA therapy, epigenetic modulation, immune modulation, cellular memory, feedback loops, non-local interactions, fractal structures, tissue engineering, muscle mass restoration, chronic inflammation, fibrosis reduction, cardiomyopathy prevention, respiratory failure prevention, regenerative medicine, advanced drug delivery, bioinformatics, protein therapy, therapeutic peptides, quantum fields, biological oscillations, Bessel functions, immune response modulation, fractional dynamics, reaction–diffusion modeling, stochastic simulations, Green's functions, Python simulations, computational simulations, biological integration, clinical trials, preclinical testing, therapeutic vaccines, dystrophin protein repair, dystrophin peptide mimetics, dystrophin-like proteins, dystrophin pathway, dystrophin deficiency, nanoscience, biophysics, muscle fiber reconstruction, myopathy treatment, musculoskeletal disorders, immunotherapy, pharmacological innovations, biological engineering, epigenome reactivation, nano-fractal systems, peptide-based vaccines, synthetic biology, advanced biomaterials, nanogenomics, biopolymer scaffolds, exosome carriers, lipidoid nanoparticles, fractal nanoscaffolds, mitochondrial targeting, nano-capsules, oral drug formulations, injectable drug formulations, intravenous therapy, nanotechnology medicine, therapeutic nanostructures, adaptive therapy, systemic therapy, intelligent drug design, smart therapy, personalized medicine, targeted drug delivery, immune-safe therapy, immune engineering, peptide delivery, bio-computational models, dystrophin gene regulation, dystrophin synthesis, dystrophin repair, dystrophin stabilization, protein folding, protein expression, cell signaling, molecular biology, enzyme therapy, epigenetic therapy, gene regulation therapy, preclinical models, animal models, macaque models, bio-simulation, humanized models, WHO recommendations, FDA approval, EMA registration, Nature Medicine, NEJM publications, Cell Reports, JAMA Neurology, clinical feasibility, experimental therapy, phase 1 clinical trials, multicenter research, global collaboration, intellectual property, patent protection, biopharmaceuticals, drug development, vaccine development, biomedical engineering, computational medicine, translational research, biotechnology, life sciences, disease modeling, molecular dynamics, synthetic peptides, targeted therapy, protein repair therapy, non-invasive treatment, chronic illness management, systemic disease treatment, healthcare innovation, breakthrough therapy, rare disease therapy, orphan disease treatment, muscular rehabilitation, motor function recovery, skeletal muscle repair, cellular repair mechanisms, dystrophic tissue, myocyte regeneration, sarcolemma stability, muscle signaling chain, bioenergetics, mitochondrial function, therapeutic efficacy, pharmacokinetics, pharmacodynamics, absorption simulation, drug metabolism, drug clearance, immune response safety, cytokine regulation, non-toxic therapy, zero mortality, low side effects, nanotechnology applications, nanobiotechnology, molecular therapeutics, biomedical simulations, advanced Python code, Grünwald–Letnikov method, fractional order derivatives, immune feedback loops, fractal self-regulation, biological return point, oscillatory potential, complex integrals, computational innovations, advanced mathematics, medical breakthroughs, next-generation therapy, translational medicine, therapeutic development, regenerative drug therapy, protein therapy design, nanomedicine systems, tissue regeneration, molecular reprogramming, synthetic biology innovations, clinical applications, biomedical sciences, therapeutic pathway simulation, advanced biotechnology, future medicine, disease-resistant therapy, dystrophin-targeted drugs, biological response modeling, adaptive immune response, advanced drug formulations, dystrophin activation, dystrophin epigenetics, dystrophin nanotherapy, immune safe nanoparticles, fractionally derived models, advanced vaccine design, quantum-level interventions, bioreactor conditions, laboratory manufacturing, environmental standards, ADME simulation, PK/PD modeling, tissue distribution, immune system learning, cooperative multicellular response, fractional integral equation, dystrophin regeneration therapy, dystrophin repair modeling, DMD treatment strategies, genetic muscle disorders, orphan diseases, global health, translational biotechnology, experimental medicine, next-generation biopharma, disease progression modeling, dystrophin stabilization therapy, non-viral therapy, viral vector-free therapy, cost-effective treatment, scalable therapy, clinical-grade nanoparticles, bioethical considerations, humanitarian medicine, urgent therapy, medical innovation, scientific revolution, neuromuscular regeneration, tissue stabilization, fibrosis prevention, systemic inflammation control, smart nanomedicine, safe therapeutic peptides, clinical translation, dystrophin restoration pathways, bio-integrated systems, future of medicine, holistic therapy, complete treatment strategy

A Fractional–Integral Model of Immune–Synthetic Response to Crimean–Congo Haemorrhagic Fever (CCHF) and Its ψ–Hamzah-Based Therapeutic Vaccine Design

Autoren: JALALI, SEYED RASOUL

Schlagwörter: ψ–Hamzah, Hamzah Equation, fractional derivatives, fractal geometry, complex integrals, CCHF, Crimean–Congo Haemorrhagic Fever, CCHFV, Nairoviridae, zoonotic infections, haemorrhagic fever, viral pathogenesis, immune response, viral replication, virus–host dynamics, viral load modelling, mathematical immunology, fractional calculus, variable-order derivatives, fractal memory, immune memory, biological memory, virological modelling, computational biology, virus kinetics, immunological modelling, epidemic modelling, nanotechnology, nano-vaccines, mRNA vaccines, lipid nanoparticles, LNP, therapeutic vaccines, antiviral therapeutics, Hamzavir-CCHF, nano-molecular therapy, viral clearance, viral suppression, immunological dynamics, cytokine storms, immune modulation, antiviral peptides, fractal tissue spread, liver involvement, spleen dynamics, neuroinvasion, blood–brain barrier, quantum biology, virological complexity, virological memory, immunological simulation, viral suppression dynamics, clinical virology, computational virology, viral forecasting, pandemic modelling, epidemic prediction, mathematical pharmacology, viral immunotherapy, immunotherapy, vaccine design, nanomedicine, nano-formulation, vaccine engineering, therapeutic engineering, pharmaceutical nanotechnology, immunological fractals, complex domain integration, fractional immunology, immune cell kinetics, NK cells, macrophage modelling, interferon dynamics, cytokine regulation, viral immunodynamics, viral infection control, immune defence, host immunity, delayed immune response, lagged cytokine model, viral clearance modelling, virus–immune interactions, virus eradication, therapeutic design, drug modelling, viral therapy simulation, pharmacokinetics, pharmacodynamics, drug absorption modelling, vaccine absorption modelling, tissue discontinuity modelling, non-linear modelling, multiscale modelling, computational immunology, systemic immunology, virological simulation, immune boosting, viral eradication, immune cell activation, adaptive immunity, innate immunity, T-cell response, B-cell activation, antibody production, immunological memory enhancement, vaccine efficacy, vaccine safety, antiviral safety, viral inhibition, virus replication control, ribavirin limitations, WHO, FDA approval, EMA approval, CEPI, GAVI, endemic regions, Middle East, Central Asia, Balkans, Africa, Caucasus, global health emergency, biosafety level 4, virus containment, therapeutic vaccines, drug efficacy, vaccine trials, human trials, clinical modelling, mathematical epidemiology, virological pharmacology, biophysics of infection, fractal diffusion, entropy deflection, oscillatory viral absorption, entropic viral suppression, computational immunodynamics, stochastic immune modelling, deterministic immune modelling, fractional-fractal hybrid systems, memory-driven dynamics, integrative virology, mathematical bioengineering, immune checkpoint modelling, immunological surveillance, viral mutation modelling, antiviral resistance, viral evolution, immune evasion, immune defence reinforcement, disease eradication strategies, predictive immunology, predictive pharmacology, dynamic immunology, vaccine pharmacology, targeted nanomedicine, personalised medicine, bioinformatics, computational pharmacology, therapeutic peptides, antiviral nanoparticles, silicon nanocrystals, nanoparticle carriers, drug delivery systems, controlled release nanoparticles, adaptive nanoparticles, pH-responsive coatings, oral therapeutics, injectable therapeutics, IV formulations, drug half-life, plasma absorption, systemic toxicity, neurotoxicity, genotoxicity, immunotoxicity, safety profiling, quality control protocols, GMP compliance, ISO standards, vaccine stabilisation, cold storage, cryostorage, sterile filtration, HEPA filtration, nanometre precision, laboratory protocols, viral immunological pathways, integrative pharmacology, translational medicine, global epidemiology, virological crisis, medical nanotechnology, systemic therapy, immunological resilience, immune reinforcement, disease outbreak response, pandemic defence, therapeutic roadmap, virological resilience, infectious disease modelling, systemic immune simulation, viral load suppression, mathematical innovation, quantum immunology, fractal immunodynamics, virological complexity science, pathogen eradication, therapeutic nanoscience, bio-pharmaceutical innovation, advanced mathematical biology, immunological revolution, paradigm shift in medicine, virological engineering, therapeutic vaccine design, next-generation vaccines, antiviral innovation, viral disease prevention, systemic virology, integrative immunology, biological complexity, non-linear epidemiology, precision medicine, advanced vaccine platforms, bio-mathematical modelling, virological precision, epidemic control, immune-synthetic modelling, nanopharmaceutical engineering, drug design innovation, medical breakthroughs, pandemic preparedness, viral therapy optimisation, immune system engineering, virological forecasting, therapeutic nanobiology, systemic pharmacology, biological simulation, mathematical precision, scientific roadmap, emergency therapeutic design, advanced immunotherapy, adaptive drug design, antiviral resilience, computational medicine, pathogen forecasting, predictive disease modelling, translational pharmacology, virological safety, medical biophysics, bio-computational models, viral bioengineering, immunological engineering, therapeutic memory modelling, immune adaptation, dynamic vaccine design, systemic nanomedicine, virological prevention, eradication strategies, drug safety protocols, medical modelling, biomedical mathematics, infectious disease eradication, immune-synthetic response, ψ–Hamzah intellectual property, Seyed Rasoul Jalali

A New Adaptive Algorithm ψ‒Hamzah for Real-Time Vaccine Recalibration. Towards Sub-Millisecond Genomic Mutation Response

Autoren: JALALI, SEYED RASOUL

Schlagwörter: ψ–Hamzah, Hamzah Equation, adaptive algorithm, real-time vaccine recalibration, genomic mutation, rapid mutation response, sub-millisecond detection, quantum biology, fractal mathematics, integral memory, quantum integral calculus, fractal derivatives, RNA viruses, SARS-CoV-2, Influenza A, HIV, Nipah virus, Ebola virus, viral genome dynamics, antigenic mapping, vaccine optimisation, mutation forecasting, quantum computation, quantum–fractal modelling, quantum-inspired algorithms, genomic state space, quantum integral operator, wavefunction modelling, fractal wave dynamics, entropy metrics, mutation entropy, fractal entropy, probabilistic mutation pathways, mutation detection algorithm, bioinformatics, genomic surveillance, quantum genomics, nanotechnology-enabled delivery, lipid nanoparticles, magnetic nanocapsules, vaccine distribution, adaptive immunity, immunogenic epitopes, antigen redesign, molecular dynamics, docking simulations, structural vaccinology, computational vaccinology, precision medicine, personalised vaccines, pandemic prevention, pandemic modelling, global vaccine strategy, predictive immunology, computational immunology, nonlinear memory functions, nonlocal memory, genomic qubits, quantum genomic encoding, superposition principle, fractal derivative operator, adaptive RNA encoder, ψ–MutSig recognition, antigenic impact mapper, integral memory kernel, quantum transition matrix, Δ-activation tensor, genomic risk scoring, mutation trajectory forecasting, adaptive vaccine profile, probabilistic weighting, multi-scale integration, molecular systems biology, dynamic systems theory, immune response modelling, neuro-immune biochips, neuro-immune interfaces, fractal classification, RNA sequence alignment, BLAST limitations, GATK mutation detection, multiple sequence alignment, MAFFT, Clustal Omega, statistical mutation scoring, Bayesian impact factors, SIFT, PolyPhen, GERP, pharmacokinetics, in vitro testing, ex vivo testing, in vivo testing, experimental biology, synthetic biology, nanomedicine, nano-bio-reactors, biosensors, lab-on-chip, microfluidic DNA chip, bio-digital hardware, bio-NPU, neural processing units, Google TPU, Apple M4, ReRAM, memristor memory, bio-AI accelerators, ex-vivo sequencing, CRISPR-Cas systems, CRISPR–Cas13, engineered viral RNA, viral genome editing, vaccine update automation, pandemic AI, biological AI, bioinformatics–biological overlap, dynamic mutation classification, sequence entropy, Shannon entropy, log-odds scoring, mutation risk assessment, computational complexity, genomic scalability, mutation response latency, vaccine recalibration delays, immune system augmentation, nanovaccine injection, biosecurity, biodefence, biological resilience, molecular epidemiology, immunogen design, antigen structure mapping, protein folding, spike protein mutations, SARS-CoV-2 spike gene, G→A mutation, tertiary protein disruption, protein docking, ΔG binding energy, antigen redesign requirement, high-performance computing, HPC genomics, parallel quantum processing, GPU acceleration, TensorQuantum, fractal kernels, memory weighting functions, nonlinear dynamics, chaotic systems in biology, time-dependent Hamiltonians, biological state transitions, epidemic modelling, outbreak response, pandemic resilience, pandemic intelligence, AI-driven vaccine design, bio-computational vaccines, genetic drift, antigenic shift, genomic recombination, stochastic mutation events, discrete mutation jumps, viral quasispecies, antigenic diversity, immune escape, immune evasion, virology, structural virology, vaccinology, predictive vaccinology, AI vaccinology, computational virology, precision virology, cloud-based genomic surveillance, HamzahNet, distributed bio-cloud, Starlink integration, 5G bioinformatics, global genomic monitoring, GISAID integration, ENSEMBL integration, NCBI mutation datasets, collective intelligence for vaccines, evolutionary biology, phylogenetics, adaptive phylogenetics, genomic adaptation pathways, evolutionary forecasting, predictive biology, systems immunology, immuno-dynamics, immune system forecasting, T-cell activation modelling, B-cell response modelling, antibody neutralisation, nanobody engineering, epitope scanning, cross-reactive epitopes, conserved epitopes, immune memory augmentation, dynamic antigen memory, immunological big data, omics integration, proteomics, transcriptomics, epigenomics, multi-omics systems, integrative omics, bioinformatics modelling, AI-based mutation tracking, reinforcement learning for vaccines, deep learning genomic models, neural genomic architectures, mutation deep nets, recurrent mutation networks, temporal genomic modelling, predictive entropy nets, bio-inspired algorithms, fractal-inspired AI, chaos-inspired algorithms, adaptive optimisation, memory-driven AI, self-learning vaccines, living vaccines, quantum vaccines, digital vaccines, biocompatible vaccines, immune nanotechnology, nano-bio interfaces, nanoscale biosensors, biosensing nanomaterials, CNT nanoparticles, PEG polymers, graphene nanostructures, supramolecular DNA, CRISPR-templated molecules, photonic nanogrinders, nano-lithography, nano-3D lithography, synthetic biochips, quantum DNA supramolecules, biocompatible polymers, PEGylated PLA, smart polymers, ZnO nanocomposites, Fe₃O₄ nanoparticles, opsin-based memristors, optical memristors, protein-based memristors, biosensor interfaces, immune-shielding coatings, NFC biopatches, Bluetooth bio-patches, immune microchips, neurogenomic implants, vagus nerve interface, subdermal lymph node interface, blood–chip interface, EMG monitoring, EEG monitoring, neural spectroscopy, electro-genomic coupling, genomic neural implants, bio-signal integration, immune system augmentation, host immune synchronisation, in vivo adaptive response, adaptive nanovaccine injection, nanovaccine patch, clinical integration, ISO 10993 compliance, cGMP vaccine production, GLP standards, Phase 0.5 trials, biosupervision, IoT healthcare integration, smart hospitals, immune IoT, vaccine IoT, cloud-connected vaccines, pandemic IoT, pandemic AI network, universal vaccine platform, broad-spectrum vaccines, variant-proof vaccines, cross-variant vaccines, post-quantum vaccines, oscillatory vaccines, ψNet∞ integration, hyper-quantum immunology, consciousness-informed vaccines, Hamzah fractal filters, quantum-noise immunity, quantum decoherence resilience, quantum secure vaccines, quantum cryptography in health, entropy reduction in biology, intelligent entropy control, time-symmetric mutation modelling, time-folding in biology, sub-second pandemic defence, ultra-fast bioinformatics, high-sensitivity genomic scanners, mutation entropy detectors, fractional derivative scanners, chaos detection in RNA, quantum sensors for mutation, nanophotonic biosensors, plasmonic biosensors, AI–quantum hybrid models, machine learning mutation nets, transformer models for genomics, large language models for DNA, foundation genomic models, exascale bio-computation, trillion-scenario vaccine simulation, predictive cancer vaccines, universal anti-cancer vaccine, mitochondrial modelling, immuno-metabolic vaccines, regenerative medicine, precision oncology vaccines, biosecurity algorithms, defence immunology, biodefence vaccines, global vaccine network, medical AI infrastructure, vaccine cloud systems, sub-millisecond vaccinology, future vaccine revolution

Mass Spectrometric and Bio-Computational Binding Strength Analysis of Multiply Charged RNAse S Gas-Phase Complexes Obtained by Electrospray Ionization from Varying In-Solution Equilibrium Conditions

Autoren: Cornelia Koy Kwabena F. M. Opuni Bright D. Danquah et al.

Quelle: International Journal of Molecular Sciences, Vol 22, Iss 10183, p 10183 (2021)

Schlagwörter: ESI-MS, desolvation process, ITEM-TWO, bio-computation, in-silico modeling, RNAse S, Biology (General), QH301-705.5, Chemistry, QD1-999

Relation: https://www.mdpi.com/1422-0067/22/19/10183; https://doaj.org/toc/1661-6596; https://doaj.org/toc/1422-0067; https://doaj.org/article/b40252b474b444ecb544c6a9ad4e64b9

Verfügbarkeit: https://doi.org/10.3390/ijms221910183
https://doaj.org/article/b40252b474b444ecb544c6a9ad4e64b9

Investigating Impact of Current Pulse Waveform and Simulation Frequency on Deep Brain Stimulation.

Alternate Title: Elektriksel Akım Dalgasının and Frekansının Derin Beyin Stimülasyonu Üzerindeki Etkisinin Araştırılması. (Turkish)

Autoren: SALKIM, Enver

Quelle: Firat University Journal of Experimental & Computational Engineering (FUJECE); Feb2025, Vol. 4 Issue 1, p59-71, 13p

Schlagwörter: MEDICAL equipment design, PARKINSON'S disease, ELECTRIC fields, CURRENT distribution, MEDICAL equipment, DEEP brain stimulation

Predictive bio-computational wear modeling for joint replacements

Autoren: Armstrong, Jeffrey R. Petrella, Anthony J.

Dateibeschreibung: posters; image/jpeg

Relation: cog:359; 2010 Research Fair poster sessions; Graduate Student Association; http://hdl.handle.net/11124/18004; http://dx.doi.org/10.25676/11124/18004

Verfügbarkeit: http://hdl.handle.net/11124/18004
https://doi.org/10.25676/11124/18004

Identification and 3D modeling of bioactive peptides from Lactobacillus brevis RAMULAB49 protein hydrolysate with in silico ERK1 phosphorylation inhibition activity targeting diabetic nephropathy.

Autoren: Martiz, Reshma Mary Ramu, Ramith Nambisan, Hemalatha et al.

Quelle: PLoS ONE; 9/22/2025, Vol. 20 Issue 9, p1-32, 32p

Schlagwörter: PEPTIDES, LACTOBACILLUS brevis, LACTIC acid bacteria, DRUG development, DIABETIC nephropathies, PROTEIN-protein interactions

Extended Simulations and Applications of the Prime-Induced Function Switching Model (PIFSM)

Autoren: Rezapour, Majid Rezapour, Ramin

Schlagwörter: dynamic functions, Prime numbers, mathematical modeling, simulation models, adaptive systems, PIFSM, intelligent computation, prime-triggered transitions, non-linear logic, functional switching, AI logic frameworks, discontinuous systems, mathematical discontinuity, prime-indexed mutation, algorithmic evolution

Effect of Dielectric Properties of Cochlea on Electrode Insertion Guidance Based on Impedance Variation.

Autoren: Salkim, Enver

Quelle: Applied Sciences (2076-3417); Nov2024, Vol. 14 Issue 22, p10408, 16p

Schlagwörter: AUDITORY perception, DIELECTRIC properties, COCHLEAR implants, COCHLEA, ELECTRODES

Cancer stem cell, niche and EGFR decide tumor development and treatment response: A bio-computational simulation study

Autoren: Michael T. Lewis Ling Xia Stephen T. C. Wong et al.

Quelle: Journal of Theoretical Biology. 269:138-149

Schlagwörter: 0301 basic medicine, 0303 health sciences, Models, Biological, Tumor Burden, 3. Good health, ErbB Receptors, 03 medical and health sciences, Neoplasms, Neoplastic Stem Cells, Humans, Computer Simulation, Neoplasm Recurrence, Local, Stem Cell Niche, Precancerous Conditions, Cell Division, Cell Proliferation, Signal Transduction

Zugangs-URL: https://europepmc.org/articles/pmc3153880?pdf=render
https://pubmed.ncbi.nlm.nih.gov/20969880
http://ui.adsabs.harvard.edu/abs/2011JThBi.269..138Z/abstract
https://www.sciencedirect.com/science/article/abs/pii/S0022519310005448
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Expression profiling and in silico homology modeling of Inositol pentakisphosphate 2-kinase, a potential candidate gene for low phytate trait in soybean.

Autoren: Basak, Nabaneeta Krishnan, Veda Pandey, Vanita et al.

Quelle: 3 Biotech. 5/27/2020, Vol. 10 Issue 6, p1-21. 21p.

Schlagwörter: *INOSITOL, *MOLECULAR dynamics, *HOMOLOGY (Biology), *SOYBEAN, *SEED development, *PROTEIN models, *SOYBEAN farming

Deciphering the Interactions of Bioactive Compounds in Selected Traditional Medicinal Plants against Alzheimer’s Diseases via Pharmacophore Modeling, Auto-QSAR, and Molecular Docking Approaches

Autoren: Oluwafemi Adeleke Ojo Adebola Busola Ojo Charles Okolie et al.

Quelle: Molecules ; Volume 26 ; Issue 7 ; Pages: 1996

Schlagwörter: Alzheimer’s, pharmacophore modeling, QSAR, molecular docking, bioactive compounds, neurodegenerative diseases

Geographisches Schlagwort: agris

Dateibeschreibung: application/pdf

Relation: https://dx.doi.org/10.3390/molecules26071996

Verfügbarkeit: https://doi.org/10.3390/molecules26071996

Eco-cultural niches modelling of the Cucuteni-Trypillia groups in Eastern Europe

Autoren: Mihu-Pintilie, A. Gherghel, I.

Quelle: Present Environment and Sustainable Development (Ediția 17)

Dateibeschreibung: application/pdf

Zugangs-URL: https://ibn.idsi.md/vizualizare_articol/158186