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FGDB: a comprehensive graph database of ligand fragments from the Protein Data Bank

This work presents Fragment Graph DataBase (FGDB), a graph database of ligand fragments extracted and generated from the protein entries available in the Protein Data Bank (PDB). FGDB is meant to support and elicit campaigns of fragment-based drug design, by enabling users to query it in order to co...

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Autores principales: Toti, Daniele, Macari, Gabriele, Barbierato, Enrico, Polticelli, Fabio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239314/
https://www.ncbi.nlm.nih.gov/pubmed/35763362
http://dx.doi.org/10.1093/database/baac044
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author Toti, Daniele
Macari, Gabriele
Barbierato, Enrico
Polticelli, Fabio
author_facet Toti, Daniele
Macari, Gabriele
Barbierato, Enrico
Polticelli, Fabio
author_sort Toti, Daniele
collection PubMed
description This work presents Fragment Graph DataBase (FGDB), a graph database of ligand fragments extracted and generated from the protein entries available in the Protein Data Bank (PDB). FGDB is meant to support and elicit campaigns of fragment-based drug design, by enabling users to query it in order to construct ad hoc, target-specific libraries. In this regard, the database features more than 17 000 fragments, typically small, highly soluble and chemically stable molecules expressed via their canonical Simplified Molecular Input Line Entry System (SMILES) representation. For these fragments, the database provides information related to their contact frequencies with the amino acids, the ligands they are contained in and the proteins the latter bind to. The graph database can be queried via standard web forms and textual searches by a number of identifiers (SMILES, ligand and protein PDB ids) as well as via graphical queries that can be performed against the graph itself, providing users with an intuitive and effective view upon the underlying biological entities. Further search mechanisms via advanced conjunctive/disjunctive/negated textual queries are also possible, in order to allow scientists to look for specific relationships and export their results for further studies. This work also presents two sample use cases where maternal embryonic leucine zipper kinase and mesotrypsin are used as a target, being proteins of high biomedical relevance for the development of cancer therapies. Database URL: http://biochimica3.bio.uniroma3.it/fragments-web/
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spelling pubmed-92393142022-06-29 FGDB: a comprehensive graph database of ligand fragments from the Protein Data Bank Toti, Daniele Macari, Gabriele Barbierato, Enrico Polticelli, Fabio Database (Oxford) Original Article This work presents Fragment Graph DataBase (FGDB), a graph database of ligand fragments extracted and generated from the protein entries available in the Protein Data Bank (PDB). FGDB is meant to support and elicit campaigns of fragment-based drug design, by enabling users to query it in order to construct ad hoc, target-specific libraries. In this regard, the database features more than 17 000 fragments, typically small, highly soluble and chemically stable molecules expressed via their canonical Simplified Molecular Input Line Entry System (SMILES) representation. For these fragments, the database provides information related to their contact frequencies with the amino acids, the ligands they are contained in and the proteins the latter bind to. The graph database can be queried via standard web forms and textual searches by a number of identifiers (SMILES, ligand and protein PDB ids) as well as via graphical queries that can be performed against the graph itself, providing users with an intuitive and effective view upon the underlying biological entities. Further search mechanisms via advanced conjunctive/disjunctive/negated textual queries are also possible, in order to allow scientists to look for specific relationships and export their results for further studies. This work also presents two sample use cases where maternal embryonic leucine zipper kinase and mesotrypsin are used as a target, being proteins of high biomedical relevance for the development of cancer therapies. Database URL: http://biochimica3.bio.uniroma3.it/fragments-web/ Oxford University Press 2022-06-27 /pmc/articles/PMC9239314/ /pubmed/35763362 http://dx.doi.org/10.1093/database/baac044 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Article
Toti, Daniele
Macari, Gabriele
Barbierato, Enrico
Polticelli, Fabio
FGDB: a comprehensive graph database of ligand fragments from the Protein Data Bank
title FGDB: a comprehensive graph database of ligand fragments from the Protein Data Bank
title_full FGDB: a comprehensive graph database of ligand fragments from the Protein Data Bank
title_fullStr FGDB: a comprehensive graph database of ligand fragments from the Protein Data Bank
title_full_unstemmed FGDB: a comprehensive graph database of ligand fragments from the Protein Data Bank
title_short FGDB: a comprehensive graph database of ligand fragments from the Protein Data Bank
title_sort fgdb: a comprehensive graph database of ligand fragments from the protein data bank
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239314/
https://www.ncbi.nlm.nih.gov/pubmed/35763362
http://dx.doi.org/10.1093/database/baac044
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