Title
A simple extension to the CMASA method for the prediction of catalytic residues in the presence of single point mutations
Author
David Israel Flores Granados
Contributor
ROGERIO RAFAEL SOTELO MUNDO (Collaborator)
Brizuela Rodríguez, C. A. (Collaborator)
Access level
Open Access
Alternative identifier
doi: https://doi.org/10.1371/journal.pone.0108513
Subjects
1UU9 protein, 3HRC protein, protein, thymidylate synthase, unclassified drug, protein kinase, thymidylate synthase, accuracy, algorithm, Article, CMASA, CMASA Substitution Matrix, Contact Matrix Average Deviation, controlled study, correlation coeffi - (SCOPUS) CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA - (CTI) MATEMÁTICAS - (CTI) ANÁLISIS NUMÉRICO - (CTI) ANÁLISIS NUMÉRICO - (CTI)
Summary or description
The automatic identification of catalytic residues still remains an important challenge in structural bioinformatics. Sequence-based methods are good alternatives when the query shares a high percentage of identity with a well-annotated enzyme. However, when the homology is not apparent, which occurs with many structures from the structural genome initiative, structural information should be exploited. A local structural comparison is preferred to a global structural comparison when predicting functional residues. CMASA is a recently proposed method for predicting catalytic residues based on a local structure comparison. The method achieves high accuracy and a high value for the Matthews correlation coefficient. However, point substitutions or a lack of relevant data strongly affect the performance of the method. In the present study, we propose a simple extension to the CMASA method to overcome this difficulty. Extensive computational experiments are shown as proof of concept instances, as well as for a few real cases. The results show that the extension performs well when the catalytic site contains mutated residues or when some residues are missing. The proposed modification could correctly predict the catalytic residues of a mutant thymidylate synthase, 1EVF. It also successfully predicted the catalytic residues for 3HRC despite the lack of information for a relevant side chain atom in the PDB file. © 2014 Flores et al.
Publisher
Manuela Helmer-Citterich, University of Rome Tor Vergata, Italy
Publish date
2014
Publication type
Article
Publication version
Published Version
Information Resource
Format
application/pdf
Source
PLoS ONE, Vol.9, No.9, Pags.
Language
English
Citation suggestion
Flores DI, Sotelo-Mundo RR, Brizuela CA (2014) A Simple Extension to the CMASA Method for the Prediction of Catalytic Residues in the Presence of Single Point Mutations. PLoS ONE 9(9): e108513. https://doi.org/10.1371/journal.pone.0108513
Source repository
Repositorio Institucional CICESE
Downloads
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