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...

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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
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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
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url http://hdl.handle.net/1992/48414
identifier_str_mv u833098.pdf
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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/
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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
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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