Consensus set of amino acid residues derived from cavities detection and cut-off distances-to-ligand for the analysis of enzyme binding sites
Geometric detection of protein cavities (also referred to as pockets) and protein-ligand cut-off distances represent two different classes of methods that have been largely used as criteria to determine which amino acids in a protein constitute the ligand-binding site. Therefore, they all play a cri...
- Autores:
-
Vásquez Jiménez, Andrés Felipe
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/48414
- Acceso en línea:
- http://hdl.handle.net/1992/48414
- Palabra clave:
- Aminoácidos
Proteínas
Enzimas
Ligandos
Biología
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-sa/4.0/
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dc.title.es_CO.fl_str_mv |
Consensus set of amino acid residues derived from cavities detection and cut-off distances-to-ligand for the analysis of enzyme binding sites |
title |
Consensus set of amino acid residues derived from cavities detection and cut-off distances-to-ligand for the analysis of enzyme binding sites |
spellingShingle |
Consensus set of amino acid residues derived from cavities detection and cut-off distances-to-ligand for the analysis of enzyme binding sites Aminoácidos Proteínas Enzimas Ligandos Biología |
title_short |
Consensus set of amino acid residues derived from cavities detection and cut-off distances-to-ligand for the analysis of enzyme binding sites |
title_full |
Consensus set of amino acid residues derived from cavities detection and cut-off distances-to-ligand for the analysis of enzyme binding sites |
title_fullStr |
Consensus set of amino acid residues derived from cavities detection and cut-off distances-to-ligand for the analysis of enzyme binding sites |
title_full_unstemmed |
Consensus set of amino acid residues derived from cavities detection and cut-off distances-to-ligand for the analysis of enzyme binding sites |
title_sort |
Consensus set of amino acid residues derived from cavities detection and cut-off distances-to-ligand for the analysis of enzyme binding sites |
dc.creator.fl_str_mv |
Vásquez Jiménez, Andrés Felipe |
dc.contributor.advisor.none.fl_str_mv |
González Barrios, Andrés Fernando |
dc.contributor.author.none.fl_str_mv |
Vásquez Jiménez, Andrés Felipe |
dc.contributor.jury.none.fl_str_mv |
Miscione, Gian Pietro Yosa Reyes, Juvenal |
dc.subject.armarc.es_CO.fl_str_mv |
Aminoácidos Proteínas Enzimas Ligandos |
topic |
Aminoácidos Proteínas Enzimas Ligandos Biología |
dc.subject.themes.none.fl_str_mv |
Biología |
description |
Geometric detection of protein cavities (also referred to as pockets) and protein-ligand cut-off distances represent two different classes of methods that have been largely used as criteria to determine which amino acids in a protein constitute the ligand-binding site. Therefore, they all play a critical role in both the visualization and the analysis of tridimensional structures, the development of molecular docking protocols and the identification of similar binding sites in other proteins. However, in many cases the individual use of these methods may not be sufficient to recognize the amino acids with higher conservation or greater protein-ligand interaction potential, which are all characteristic properties in binding sites. Here we propose a combined strategy intended to identify a consolidated, ?elite? set of amino acids comprising a particular binding site in a protein. To achieve this goal, we will use the crystallographic structures of a collection of human enzymes that will be evaluated by three different methods within each category herein mentioned. Next, a consensus set of amino acids derived from the combination of the best performance pair of methods out of these two classes will be elucidated and compared with the sets obtained by its component approaches. In this study, we aimed to identify a rapid and intuitive approach for scientists working on molecular modeling and structure-based drug discovery, by facilitating the selection of amino acids that share a profile of features strongly associated with their occurrence in binding sites and that, according to our hypothesis, more correctly circumscribe these functional regions |
publishDate |
2019 |
dc.date.issued.es_CO.fl_str_mv |
2019 |
dc.date.accessioned.none.fl_str_mv |
2021-02-18T12:21:24Z |
dc.date.available.none.fl_str_mv |
2021-02-18T12:21:24Z |
dc.type.spa.fl_str_mv |
Trabajo de grado - Maestría |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/masterThesis |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/TM |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/1992/48414 |
dc.identifier.pdf.none.fl_str_mv |
u833098.pdf |
dc.identifier.instname.spa.fl_str_mv |
instname:Universidad de los Andes |
dc.identifier.reponame.spa.fl_str_mv |
reponame:Repositorio Institucional Séneca |
dc.identifier.repourl.spa.fl_str_mv |
repourl:https://repositorio.uniandes.edu.co/ |
url |
http://hdl.handle.net/1992/48414 |
identifier_str_mv |
u833098.pdf instname:Universidad de los Andes reponame:Repositorio Institucional Séneca repourl:https://repositorio.uniandes.edu.co/ |
dc.language.iso.es_CO.fl_str_mv |
eng |
language |
eng |
dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ |
dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.extent.es_CO.fl_str_mv |
25 hojas |
dc.format.mimetype.es_CO.fl_str_mv |
application/pdf |
dc.publisher.es_CO.fl_str_mv |
Universidad de los Andes |
dc.publisher.program.es_CO.fl_str_mv |
Maestría en Biología Computacional |
dc.publisher.faculty.es_CO.fl_str_mv |
Facultad de Ciencias |
dc.publisher.department.es_CO.fl_str_mv |
Departamento de Biología |
dc.source.es_CO.fl_str_mv |
instname:Universidad de los Andes reponame:Repositorio Institucional Séneca |
instname_str |
Universidad de los Andes |
institution |
Universidad de los Andes |
reponame_str |
Repositorio Institucional Séneca |
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Repositorio Institucional Séneca |
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spelling |
Al consultar y hacer uso de este recurso, está aceptando las condiciones de uso establecidas por los autores.http://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2González Barrios, Andrés Fernando1c72166a-6337-4b66-8788-eed2e2f99f6e600Vásquez Jiménez, Andrés Felipe10905500Miscione, Gian PietroYosa Reyes, Juvenal2021-02-18T12:21:24Z2021-02-18T12:21:24Z2019http://hdl.handle.net/1992/48414u833098.pdfinstname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/Geometric detection of protein cavities (also referred to as pockets) and protein-ligand cut-off distances represent two different classes of methods that have been largely used as criteria to determine which amino acids in a protein constitute the ligand-binding site. Therefore, they all play a critical role in both the visualization and the analysis of tridimensional structures, the development of molecular docking protocols and the identification of similar binding sites in other proteins. However, in many cases the individual use of these methods may not be sufficient to recognize the amino acids with higher conservation or greater protein-ligand interaction potential, which are all characteristic properties in binding sites. Here we propose a combined strategy intended to identify a consolidated, ?elite? set of amino acids comprising a particular binding site in a protein. To achieve this goal, we will use the crystallographic structures of a collection of human enzymes that will be evaluated by three different methods within each category herein mentioned. Next, a consensus set of amino acids derived from the combination of the best performance pair of methods out of these two classes will be elucidated and compared with the sets obtained by its component approaches. In this study, we aimed to identify a rapid and intuitive approach for scientists working on molecular modeling and structure-based drug discovery, by facilitating the selection of amino acids that share a profile of features strongly associated with their occurrence in binding sites and that, according to our hypothesis, more correctly circumscribe these functional regions"La detección geométrica de las cavidades de las proteínas (también denominados bolsillos) y las distancias límite entre proteínas y ligandos representan dos clases diferentes de métodos que se han utilizado en gran medida como criterios para determinar qué aminoácidos de una proteína constituyen el sitio de unión de los ligandos. Por lo tanto, todos ellos desempeñan un papel fundamental tanto en la visualización como en el análisis de las estructuras tridimensionales, la elaboración de protocolos de acoplamiento molecular y la identificación de sitios de unión similares en otras proteínas. Sin embargo, en muchos casos el uso individual de estos métodos puede no resultar suficiente para reconocer los aminoácidos con mayor conservación o mayor potencial de interacción proteína-ligando, que son todas propiedades características en los sitios de unión. Aquí proponemos una estrategia combinada destinada a identificar un conjunto consolidado y "de élite" de aminoácidos que comprende un sitio de unión particular en una proteína. Para lograr este objetivo, utilizaremos las estructuras cristalográficas de una colección de enzimas humanas que serán evaluadas por tres métodos diferentes dentro de cada categoría aquí mencionada. A continuación, se dilucidará un conjunto consensuado de aminoácidos derivados de la combinación del par de métodos de mejor rendimiento de estas dos clases y se comparará con los conjuntos obtenidos por los enfoques de sus componentes. En este estudio, nos propusimos identificar un enfoque rápido e intuitivo para los científicos que trabajan en el modelado molecular y el descubrimiento de fármacos basados en estructuras, facilitando la selección de aminoácidos que comparten un perfil de características fuertemente asociadas con su aparición en sitios de unión y que, según nuestra hipótesis, circunscriben más correctamente estas regiones funcionales."--Tomado del Formato de Documento de GradoMagíster en Biología ComputacionalMaestría25 hojasapplication/pdfengUniversidad de los AndesMaestría en Biología ComputacionalFacultad de CienciasDepartamento de Biologíainstname:Universidad de los Andesreponame:Repositorio Institucional SénecaConsensus set of amino acid residues derived from cavities detection and cut-off distances-to-ligand for the analysis of enzyme binding sitesTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesishttp://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/TMAminoácidosProteínasEnzimasLigandosBiologíaPublicationTEXTu833098.pdf.txtu833098.pdf.txtExtracted texttext/plain38607https://repositorio.uniandes.edu.co/bitstreams/8ed7a422-19d0-43b8-b5f3-edcede1e832d/downloada5bdcd719a6eb760eb9a81f5349be8c5MD54ORIGINALu833098.pdfapplication/pdf1720612https://repositorio.uniandes.edu.co/bitstreams/cd2cdcdb-7936-4d58-b4de-a5409f7a3f6e/download53b4bb07f77ba37adbeb59bcb4efdb6dMD51THUMBNAILu833098.pdf.jpgu833098.pdf.jpgIM Thumbnailimage/jpeg10304https://repositorio.uniandes.edu.co/bitstreams/2f9ab211-d861-478a-b768-4d8913ac007c/download0096e9fe51bdaa7e9a46ca4aa1534844MD551992/48414oai:repositorio.uniandes.edu.co:1992/484142023-10-10 19:38:14.046http://creativecommons.org/licenses/by-nc-sa/4.0/open.accesshttps://repositorio.uniandes.edu.coRepositorio institucional Sénecaadminrepositorio@uniandes.edu.co |