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Detalle de: 3DCONS-DB: A Database of Position-Specific Scoring Matrices in Protein Structures

Title 3DCONS-DB: A Database of Position-Specific Scoring Matrices in Protein Structures
Abstract

Many studies have used position-specific scoring matrices (PSSM) profiles to characterize residues in protein structures and to predict a broad range of protein features. Moreover, PSSM profiles of Protein Data Bank (PDB) entries have been recalculated in many works for different purposes. Although the computational cost of calculating a single PSSM profile is affordable, many statistical studies or machine learning-based methods used thousands of profiles to achieve their goals, thereby leading to a substantial increase of the computational cost. In this work we present a new database compiling PSSM profiles for the proteins of the PDB. Currently, the database contains 333,532 protein chain profiles involving 123,135 different PDB entries.

Apa Reference Sanchez-Garcia, R., Sorzano, C., Carazo, J. & Segura, J. (2017). 3DCONS-DB: A Database of Position-Specific Scoring Matrices in Protein Structures. Molecules, 22(12), 2230. 10.3390/molecules22122230
Doi 10.3390/molecules22122230
Publication Date 15 Dec 2017
Publication Type Article
Researcher Jose María Salvador Carazo Garcia
Ontology Artificial Intelligence, Machine Learning in Biology, Structural bioinformatics, Biological Databases
Research Groups
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