mCSM: predicting the effects of mutations in proteins using graph-based signatures. (Q41877619)

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scientific article published on 26 November 2013

Language	Label	Description	Also known as
English	mCSM: predicting the effects of mutations in proteins using graph-based signatures.	scientific article published on 26 November 2013

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scholarly article

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Europe PubMed Central

PMC publication ID

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:24281696%20AND%20SRC:MED&resulttype=core&format=json

1 March 2020

mCSM: predicting the effects of mutations in proteins using graph-based signatures (English)

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Europe PubMed Central

PMC publication ID

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:24281696%20AND%20SRC:MED&resulttype=core&format=json

1 March 2020

Douglas E V Pires

1

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1 March 2020

2

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1 March 2020

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Tom L Blundell

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1 March 2020

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26 November 2013

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1 March 2020

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8

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1 March 2020

30

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1 March 2020

3

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1 March 2020

335-342

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1 March 2020

copyright license

Creative Commons Attribution 3.0 Unported

2 October 2016

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April 2023 Public Data File from Crossref

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BeAtMuSiC: Prediction of changes in protein-protein binding affinity on mutations.

1 reference

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5 June 2018

Specificity and affinity quantification of protein-protein interactions

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5 June 2018

SKEMPI: a Structural Kinetic and Energetic database of Mutant Protein Interactions and its use in empirical models.

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5 June 2018

Cutoff Scanning Matrix (CSM): structural classification and function prediction by protein inter-residue distance patterns

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5 June 2018

SDM--a server for predicting effects of mutations on protein stability and malfunction

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5 June 2018

Role of conformational sampling in computing mutation-induced changes in protein structure and stability

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Predicting changes in protein thermostability brought about by single- or multi-site mutations

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A method and server for predicting damaging missense mutations

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5 June 2018

Protein-DNA interactions: structural, thermodynamic and clustering patterns of conserved residues in DNA-binding proteins

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5 June 2018

Prediction by graph theoretic measures of structural effects in proteins arising from non-synonymous single nucleotide polymorphisms

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Accurate prediction of stability changes in protein mutants by combining machine learning with structure based computational mutagenesis.

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5 June 2018

Structural basis for understanding oncogenic p53 mutations and designing rescue drugs

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ProTherm and ProNIT: thermodynamic databases for proteins and protein-nucleic acid interactions

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5 June 2018

I-Mutant2.0: predicting stability changes upon mutation from the protein sequence or structure

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5 June 2018

SIFT: Predicting amino acid changes that affect protein function

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5 June 2018

The UMD-p53 database: new mutations and analysis tools

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A simple physical model for binding energy hot spots in protein-protein complexes

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5 June 2018

Live or let die: the cell's response to p53

1 reference

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5 June 2018

Predicting changes in the stability of proteins and protein complexes: a study of more than 1000 mutations

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3904523

5 June 2018

Restoration of the tumor suppressor function to mutant p53 by a low-molecular-weight compound.

1 reference

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5 June 2018

Quantitative analysis of residual folding and DNA binding in mutant p53 core domain: definition of mutant states for rescue in cancer therapy

1 reference

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Mechanism of rescue of common p53 cancer mutations by second-site suppressor mutations

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The cellular response to p53: the decision between life and death

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Residue depth: a novel parameter for the analysis of protein structure and stability.

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Reactivation of mutant p53 through interaction of a C-terminal peptide with the core domain.

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Semirational design of active tumor suppressor p53 DNA binding domain with enhanced stability

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Prediction of the stability of protein mutants based on structural environment-dependent amino acid substitution and propensity tables

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SCOP: a structural classification of proteins database for the investigation of sequences and structures

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1 reference

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12 December 2020

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10.1093/BIOINFORMATICS/BTT691

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1 March 2020

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journals/bioinformatics/PiresAB14

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DBLP Dataset 2021-01-02

28 January 2021

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1 March 2020

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1 March 2020

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