Small ligand–globin interactions: Reviewing lessons derived from computer simulation
In this work we review the application of classical and quantum-mechanical atomistic computer simulation tools to the investigation of small ligand interaction with globins. In the first part, studies of ligand migration, with its connection to kinetic association rate constants (kon), are presented...
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| Vydané v: | Biochimica et biophysica acta Ročník 1834; číslo 9; s. 1722 - 1738 |
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| Hlavní autori: | , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Netherlands
Elsevier B.V
01.09.2013
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| ISSN: | 1570-9639, 0006-3002, 1878-1454 |
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| Abstract | In this work we review the application of classical and quantum-mechanical atomistic computer simulation tools to the investigation of small ligand interaction with globins. In the first part, studies of ligand migration, with its connection to kinetic association rate constants (kon), are presented. In the second part, we review studies for a variety of ligands such as O2, NO, CO, HS−, F−, and NO2− showing how the heme structure, proximal effects, and the interactions with the distal amino acids can modulate proteinligand binding. The review presents mainly results derived from our previous works on the subject, in the context of other theoretical and experimental studies performed by others. The variety and extent of the presented data yield a clear example of how computer simulation tools have, in the last decade, contributed to our deeper understanding of small ligand interactions with globins. This article is part of a Special Issue entitled: Oxygen Binding and Sensing Proteins.
•We review the use of simulation tools to study ligand interactions with globins.•We describe ligand migration, entry and exit to/from the active site.•We describe, for different ligands, how the metalligand bond can be modulated. |
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| AbstractList | In this work we review the application of classical and quantum-mechanical atomistic computer simulation tools to the investigation of small ligand interaction with globins. In the first part, studies of ligand migration, with its connection to kinetic association rate constants (kₒₙ), are presented. In the second part, we review studies for a variety of ligands such as O₂, NO, CO, HS⁻, F⁻, and NO₂ ⁻ showing how the heme structure, proximal effects, and the interactions with the distal amino acids can modulate proteinligand binding. The review presents mainly results derived from our previous works on the subject, in the context of other theoretical and experimental studies performed by others. The variety and extent of the presented data yield a clear example of how computer simulation tools have, in the last decade, contributed to our deeper understanding of small ligand interactions with globins. This article is part of a Special Issue entitled: Oxygen Binding and Sensing Proteins. In this work we review the application of classical and quantum-mechanical atomistic computer simulation tools to the investigation of small ligand interaction with globins. In the first part, studies of ligand migration, with its connection to kinetic association rate constants (kon), are presented. In the second part, we review studies for a variety of ligands such as O2, NO, CO, HS(-), F(-), and NO2(-) showing how the heme structure, proximal effects, and the interactions with the distal amino acids can modulate protein ligand binding. The review presents mainly results derived from our previous works on the subject, in the context of other theoretical and experimental studies performed by others. The variety and extent of the presented data yield a clear example of how computer simulation tools have, in the last decade, contributed to our deeper understanding of small ligand interactions with globins. This article is part of a Special Issue entitled: Oxygen Binding and Sensing Proteins. In this work we review the application of classical and quantum-mechanical atomistic computer simulation tools to the investigation of small ligand interaction with globins. In the first part, studies of ligand migration, with its connection to kinetic association rate constants (kon), are presented. In the second part, we review studies for a variety of ligands such as O2, NO, CO, HS−, F−, and NO2− showing how the heme structure, proximal effects, and the interactions with the distal amino acids can modulate proteinligand binding. The review presents mainly results derived from our previous works on the subject, in the context of other theoretical and experimental studies performed by others. The variety and extent of the presented data yield a clear example of how computer simulation tools have, in the last decade, contributed to our deeper understanding of small ligand interactions with globins. This article is part of a Special Issue entitled: Oxygen Binding and Sensing Proteins. In this work we review the application of classical and quantum-mechanical atomistic computer simulation tools to the investigation of small ligand interaction with globins. In the first part, studies of ligand migration, with its connection to kinetic association rate constants (kon), are presented. In the second part, we review studies for a variety of ligands such as O2, NO, CO, HS(-), F(-), and NO2(-) showing how the heme structure, proximal effects, and the interactions with the distal amino acids can modulate protein ligand binding. The review presents mainly results derived from our previous works on the subject, in the context of other theoretical and experimental studies performed by others. The variety and extent of the presented data yield a clear example of how computer simulation tools have, in the last decade, contributed to our deeper understanding of small ligand interactions with globins. This article is part of a Special Issue entitled: Oxygen Binding and Sensing Proteins.In this work we review the application of classical and quantum-mechanical atomistic computer simulation tools to the investigation of small ligand interaction with globins. In the first part, studies of ligand migration, with its connection to kinetic association rate constants (kon), are presented. In the second part, we review studies for a variety of ligands such as O2, NO, CO, HS(-), F(-), and NO2(-) showing how the heme structure, proximal effects, and the interactions with the distal amino acids can modulate protein ligand binding. The review presents mainly results derived from our previous works on the subject, in the context of other theoretical and experimental studies performed by others. The variety and extent of the presented data yield a clear example of how computer simulation tools have, in the last decade, contributed to our deeper understanding of small ligand interactions with globins. This article is part of a Special Issue entitled: Oxygen Binding and Sensing Proteins. In this work we review the application of classical and quantum-mechanical atomistic computer simulation tools to the investigation of small ligand interaction with globins. In the first part, studies of ligand migration, with its connection to kinetic association rate constants (kon), are presented. In the second part, we review studies for a variety of ligands such as O2, NO, CO, HS−, F−, and NO2− showing how the heme structure, proximal effects, and the interactions with the distal amino acids can modulate proteinligand binding. The review presents mainly results derived from our previous works on the subject, in the context of other theoretical and experimental studies performed by others. The variety and extent of the presented data yield a clear example of how computer simulation tools have, in the last decade, contributed to our deeper understanding of small ligand interactions with globins. This article is part of a Special Issue entitled: Oxygen Binding and Sensing Proteins. •We review the use of simulation tools to study ligand interactions with globins.•We describe ligand migration, entry and exit to/from the active site.•We describe, for different ligands, how the metalligand bond can be modulated. |
| Author | Boechi, Leonardo Marti, Marcelo A. Bikiel, Damián E. Arroyo-Mañez, Pau Smulevich, Giulietta Capece, Luciana Perissinotti, Laura L. Estrin, Dario A. |
| Author_xml | – sequence: 1 givenname: Luciana surname: Capece fullname: Capece, Luciana organization: Departamento de Química Inorgánica, Analítica, y Química Física/INQUIMAE-CONICET, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires. Ciudad Universitaria, Pabellon 2, C1428EHA Buenos Aires, Argentina – sequence: 2 givenname: Leonardo surname: Boechi fullname: Boechi, Leonardo organization: Department of Chemistry and Biochemistry, University of California San Diego, 92093 — La Joya, CA United States – sequence: 3 givenname: Laura L. surname: Perissinotti fullname: Perissinotti, Laura L. organization: Institute for Biocomplexity and Informatics, Department of Biological Sciences, University of Calgary, 2500 University Dr. NW Calgary, Alberta T2N1N4, Canada – sequence: 4 givenname: Pau surname: Arroyo-Mañez fullname: Arroyo-Mañez, Pau organization: Departamento de Química Inorgánica, Analítica, y Química Física/INQUIMAE-CONICET, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires. Ciudad Universitaria, Pabellon 2, C1428EHA Buenos Aires, Argentina – sequence: 5 givenname: Damián E. surname: Bikiel fullname: Bikiel, Damián E. organization: Departamento de Química Inorgánica, Analítica, y Química Física/INQUIMAE-CONICET, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires. Ciudad Universitaria, Pabellon 2, C1428EHA Buenos Aires, Argentina – sequence: 6 givenname: Giulietta surname: Smulevich fullname: Smulevich, Giulietta organization: Dipartimento di Chimica “Ugo Schiff”, Università di Firenze, Via della Lastruccia 3-13, I-50019 Sesto Fiorentino (FI), Italy – sequence: 7 givenname: Marcelo A. surname: Marti fullname: Marti, Marcelo A. email: marcelo@qi.fcen.uba.ar organization: Departamento de Química Inorgánica, Analítica, y Química Física/INQUIMAE-CONICET, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires. Ciudad Universitaria, Pabellon 2, C1428EHA Buenos Aires, Argentina – sequence: 8 givenname: Dario A. surname: Estrin fullname: Estrin, Dario A. email: dario@qi.fcen.uba.ar organization: Departamento de Química Inorgánica, Analítica, y Química Física/INQUIMAE-CONICET, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires. Ciudad Universitaria, Pabellon 2, C1428EHA Buenos Aires, Argentina |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/23470499$$D View this record in MEDLINE/PubMed |
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| Copyright | 2013 Elsevier B.V. Copyright © 2013 Elsevier B.V. All rights reserved. |
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| SubjectTerms | amino acids Animals carbon monoxide Computer Simulation fluorides Globin Globins - chemistry Globins - metabolism heme Heme protein Humans Ligands Molecular dynamics nitric oxide nitrites oxygen proteins QM/MM Quantum Theory |
| Title | Small ligand–globin interactions: Reviewing lessons derived from computer simulation |
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