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 |
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