Predicting the effect of missense mutations on protein function: analysis with Bayesian networks

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Predicting the effect of missense mutations on protein function: analysis with Bayesian networks is …
instance of (P31):
scholarly articleQ13442814

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P6409CORE ID81077486
P8978DBLP publication IDjournals/bmcbi/NeedhamBBCW06
P6179Dimensions Publication ID1011156005
P356DOI10.1186/1471-2105-7-405
P953full work available at URLhttp://eprints.whiterose.ac.uk/1931/
http://www.biomedcentral.com/1471-2105/7/405
P932PMC publication ID1586217
P698PubMed publication ID16956412
P5875ResearchGate publication ID6834727

P50authorDavid R. WestheadQ30513686
James R. BradfordQ42552817
Matthew Anthony CareQ42851728
P2093author name stringAndrew J Bulpitt
Chris J Needham
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A comparative study of machine-learning methods to predict the effects of single nucleotide polymorphisms on protein function.Q30336255
Genetic studies of the Lac repressor. XV: 4000 single amino acid substitutions and analysis of the resulting phenotypes on the basis of the protein structureQ30425060
Prediction of deleterious functional effects of amino acid mutations using a library of structure-based function descriptorsQ31028185
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The SNP Consortium website: past, present and futureQ39790360
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Prediction of the phenotypic effects of non-synonymous single nucleotide polymorphisms using structural and evolutionary information.Q45966517
Genetic studies of the lac repressor. XIV. Analysis of 4000 altered Escherichia coli lac repressors reveals essential and non-essential residues, as well as "spacers" which do not require a specific sequence.Q46020329
Bayesian approach to discovering pathogenic SNPs in conserved protein domainsQ47228584
Systematic mutation of bacteriophage T4 lysozyme.Q50183536
P275copyright licenseCreative Commons Attribution 2.0 GenericQ19125117
P6216copyright statuscopyrightedQ50423863
P921main subjectprotein function predictionQ7251473
P304page(s)405
P577publication date2006-09-06
P1433published inBMC BioinformaticsQ4835939
P1476titlePredicting the effect of missense mutations on protein function: analysis with Bayesian networks
P478volume7

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Q92007848A new in silico approach to investigate molecular aspects of factor IX missense causative mutations and their impact on the hemophilia B severity
Q36976353A semi-mechanism approach based on MRI and proteomics for prediction of conversion from mild cognitive impairment to Alzheimer's disease
Q30998099AlloRep: A Repository of Sequence, Structural and Mutagenesis Data for the LacI/GalR Transcription Regulators
Q44373387BRCA1 point mutations in premenopausal breast cancer patients from Central Sudan.
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Q51506501Hansa: an automated method for discriminating disease and neutral human nsSNPs.
Q89698079In Silico Identification of QTL-Based Polymorphic Genes as Salt-Responsive Potential Candidates through Mapping with Two Reference Genomes in Rice
Q35082960Multiple co-evolutionary networks are supported by the common tertiary scaffold of the LacI/GalR proteins
Q36422240Novel insights from hybrid LacI/GalR proteins: family-wide functional attributes and biologically significant variation in transcription repression.
Q34669126Predicting virus mutations through statistical relational learning.
Q36104137SVM-Prot 2016: A Web-Server for Machine Learning Prediction of Protein Functional Families from Sequence Irrespective of Similarity
Q30404960Structural and functional impact of cancer-related missense somatic mutations
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