Výsledky vyhľadávania - "Bravi, Barbara"
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Development and use of machine learning algorithms in vaccine target selection
ISSN: 2059-0105, 2059-0105Vydavateľské údaje: London Nature Publishing Group UK 20.01.2024Vydané v npj vaccines (20.01.2024)“…Computer-aided discovery of vaccine targets has become a cornerstone of rational vaccine design. In this article, I discuss how Machine Learning (ML) can…”
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Neoantigen quality predicts immunoediting in survivors of pancreatic cancer
ISSN: 0028-0836, 1476-4687, 1476-4687Vydavateľské údaje: London Nature Publishing Group UK 09.06.2022Vydané v Nature (London) (09.06.2022)“…Cancer immunoediting 1 is a hallmark of cancer 2 that predicts that lymphocytes kill more immunogenic cancer cells to cause less immunogenic clones to dominate…”
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Direct coupling analysis of epistasis in allosteric materials
ISSN: 1553-7358, 1553-734X, 1553-7358Vydavateľské údaje: United States Public Library of Science 01.03.2020Vydané v PLoS computational biology (01.03.2020)“…In allosteric proteins, the binding of a ligand modifies function at a distant active site. Such allosteric pathways can be used as target for drug design,…”
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A transfer-learning approach to predict antigen immunogenicity and T-cell receptor specificity
ISSN: 2050-084X, 2050-084XVydavateľské údaje: Cambridge eLife Sciences Publications Ltd 08.09.2023Vydané v eLife (08.09.2023)“…Antigen immunogenicity and the specificity of binding of T-cell receptors to antigens are key properties underlying effective immune responses. Here we propose…”
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Probing T-cell response by sequence-based probabilistic modeling
ISSN: 1553-7358, 1553-734X, 1553-7358Vydavateľské údaje: United States Public Library of Science 02.09.2021Vydané v PLoS computational biology (02.09.2021)“…With the increasing ability to use high-throughput next-generation sequencing to quantify the diversity of the human T cell receptor (TCR) repertoire, the…”
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Benchmarking solutions to the T-cell receptor epitope prediction problem: IMMREP22 workshop report
ISSN: 2667-1190, 2667-1190Vydavateľské údaje: Elsevier B.V 01.03.2023Vydané v ImmunoInformatics (01.03.2023)“…Many different solutions to predicting the cognate epitope target of a T-cell receptor (TCR) have been proposed. However several questions on the advantages…”
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ANTIPASTI: Interpretable prediction of antibody binding affinity exploiting normal modes and deep learning
ISSN: 1878-4186, 1878-4186Vydavateľské údaje: United States 05.12.2024Vydané v Structure (London) (05.12.2024)“…The high binding affinity of antibodies toward their cognate targets is key to eliciting effective immune responses, as well as to the use of antibodies as…”
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The unbearable lightness of restricted Boltzmann machines: Theoretical insights and biological applications
ISSN: 0295-5075, 1286-4854Vydavateľské údaje: EDP Sciences, IOP Publishing and Società Italiana di Fisica 01.01.2025Vydané v Europhysics letters (01.01.2025)Získať plný text
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Systematic model reduction captures the dynamics of extrinsic noise in biochemical subnetworks
ISSN: 1089-7690, 1089-7690Vydavateľské údaje: United States 14.07.2020Vydané v The Journal of chemical physics (14.07.2020)“…We consider the general problem of describing the dynamics of subnetworks of larger biochemical reaction networks, e.g., protein interaction networks involving…”
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RBM-MHC: A Semi-Supervised Machine-Learning Method for Sample-Specific Prediction of Antigen Presentation by HLA-I Alleles
ISSN: 2405-4720, 2405-4720Vydavateľské údaje: United States 17.02.2021Vydané v Cell systems (17.02.2021)“…The recent increase of immunopeptidomics data, obtained by mass spectrometry or binding assays, opens up possibilities for investigating endogenous antigen…”
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Path integral approaches to subnetwork description and inference
Vydavateľské údaje: ProQuest Dissertations & Theses 01.01.2016“…Path integral formalism is a powerful tool borrowed from theoretical physics to build dynamical descriptions, yet its potential is largely unexplored in the…”
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Dissertation -
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Responses to auxin signals: an operating principle for dynamical sensitivity yet high resilience
ISSN: 2054-5703, 2054-5703Vydavateľské údaje: England The Royal Society Publishing 01.01.2018Vydané v Royal Society open science (01.01.2018)“…Plants depend on the signalling of the phytohormone auxin for their development and for responding to environmental perturbations. The associated biomolecular…”
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Computational design of target-specific linear peptide binders with TransformerBeta
ISSN: 2331-8422Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 07.10.2024Vydané v arXiv.org (07.10.2024)“…The computational prediction and design of peptide binders targeting specific linear epitopes is crucial in biological and biomedical research, yet it remains…”
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ANTIPASTI: interpretable prediction of antibody binding affinity exploiting Normal Modes and Deep Learning
ISSN: 2331-8422Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 02.10.2024Vydané v arXiv.org (02.10.2024)“…The high binding affinity of antibodies towards their cognate targets is key to eliciting effective immune responses, as well as to the use of antibodies as…”
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Statistical physics approaches to subnetwork dynamics in biochemical systems
ISSN: 2331-8422Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 05.06.2017Vydané v arXiv.org (05.06.2017)“…We apply a Gaussian variational approximation to model reduction in large biochemical networks of unary and binary reactions. We focus on a small subset of…”
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Critical scaling in hidden state inference for linear Langevin dynamics
ISSN: 2331-8422Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 25.04.2017Vydané v arXiv.org (25.04.2017)“…We consider the problem of inferring the dynamics of unknown (i.e. hidden) nodes from a set of observed trajectories and study analytically the average…”
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Systematic model reduction captures the dynamics of extrinsic noise in biochemical subnetworks
ISSN: 2331-8422Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 01.07.2020Vydané v arXiv.org (01.07.2020)“…We consider the general problem of describing the dynamics of subnetworks of larger biochemical reaction networks, e.g. protein interaction networks involving…”
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Inference for dynamics of continuous variables: the Extended Plefka Expansion with hidden nodes
ISSN: 2331-8422Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 24.03.2017Vydané v arXiv.org (24.03.2017)“…We consider the problem of a subnetwork of observed nodes embedded into a larger bulk of unknown (i.e. hidden) nodes, where the aim is to infer these hidden…”
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Wavelet-Based Density Estimation for Persistent Homology
ISSN: 2331-8422Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 22.04.2024Vydané v arXiv.org (22.04.2024)“…Persistent homology is a central methodology in topological data analysis that has been successfully implemented in many fields and is becoming increasingly…”
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ANTIPASTI: interpretable prediction of antibody binding affinity exploiting Normal Modes and Deep Learning
ISSN: 2692-8205, 2692-8205Vydavateľské údaje: Cold Spring Harbor Cold Spring Harbor Laboratory Press 23.12.2023Vydané v bioRxiv (23.12.2023)“…The high binding affinity of antibodies towards their cognate targets is key to eliciting effective immune responses, as well as to the use of antibodies as…”
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