SDM: a server for predicting effects of mutations on protein stability.

Abstract:

:Here, we report a webserver for the improved SDM, used for predicting the effects of mutations on protein stability. As a pioneering knowledge-based approach, SDM has been highlighted as the most appropriate method to use in combination with many other approaches. We have updated the environment-specific amino-acid substitution tables based on the current expanded PDB (a 5-fold increase in information), and introduced new residue-conformation and interaction parameters, including packing density and residue depth. The updated server has been extensively tested using a benchmark containing 2690 point mutations from 132 different protein structures. The revised method correlates well against the hypothetical reverse mutations, better than comparable methods built using machine-learning approaches, highlighting the strength of our knowledge-based approach for identifying stabilising mutations. Given a PDB file (a Protein Data Bank file format containing the 3D coordinates of the protein atoms), and a point mutation, the server calculates the stability difference score between the wildtype and mutant protein. The server is available at http://structure.bioc.cam.ac.uk/sdm2.

journal_name

Nucleic Acids Res

journal_title

Nucleic acids research

authors

Pandurangan AP,Ochoa-Montaño B,Ascher DB,Blundell TL

doi

10.1093/nar/gkx439

subject

Has Abstract

pub_date

2017-07-03 00:00:00

pages

W229-W235

issue

W1

eissn

0305-1048

issn

1362-4962

pii

3835311

journal_volume

45

pub_type

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