I-Mutant2.0: predicting stability changes upon mutation from the protein sequence or structure (Q24812223)

3 July 2017

title

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

1 reference

3 July 2017

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Rita Casadio

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3 July 2017

Emidio Capriotti

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Piero Fariselli

object named as

Piero Fariselli

series ordinal

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language of work or name

English

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publication date

1 July 2005

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3 July 2017

published in

Nucleic Acids Research

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3 July 2017

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3 July 2017

issue

Web Server issue

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3 July 2017

page(s)

W306-10

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Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features

3 July 2017

cites work

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=1160136

ProTherm, version 4.0: thermodynamic database for proteins and mutants

7 April 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=1160136

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

7 April 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=1160136

Distance-scaled, finite ideal-gas reference state improves structure-derived potentials of mean force for structure selection and stability prediction

7 April 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=1160136

A neural-network-based method for predicting protein stability changes upon single point mutations.

28 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=1160136

Can contact potentials reliably predict stability of proteins?

28 November 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=1160136

Predicting free energy contributions to the conformational stability of folded proteins from the residue sequence with radial basis function networks

28 November 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=1160136

Predicting protein stability changes upon mutation using database-derived potentials: solvent accessibility determines the importance of local versus non-local interactions along the sequence

28 November 2018

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/15980478

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1093/NAR/GKI375

1 reference

journals/nar/CapriottiFC05

3 July 2017

DBLP publication ID

1 reference

DBLP Dataset 2021-01-02

OpenCitations bibliographic resource ID

28 January 2021

189301

1 reference

Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

1 reference

Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

189301

1 reference