A neural-network-based method for predicting protein stability changes upon single point mutations.
about
Analyzing effects of naturally occurring missense mutationsI-Mutant2.0: predicting stability changes upon mutation from the protein sequence or structure.Combining structural modeling with ensemble machine learning to accurately predict protein fold stability and binding affinity effects upon mutationBioinformatics for personal genome interpretationCUPSAT: prediction of protein stability upon point mutations.A three-state prediction of single point mutations on protein stability changes.Accurate prediction of stability changes in protein mutants by combining machine learning with structure based computational mutagenesis.In silico functional dissection of saturation mutagenesis: Interpreting the relationship between phenotypes and changes in protein stability, interactions and activity.Prediction of functionally significant single nucleotide polymorphisms [SNPs] in PTEN tumor suppressor gene: An in silico approach.Human allelic variation: perspective from protein function, structure, and evolution.Disease risk of missense mutations using structural inference from predicted functionPredicting the melting point of human C-type lysozyme mutantsMeet me halfway: when genomics meets structural bioinformatics.Prediction of protein mutation effects based on dehydration and hydrogen bonding - A large-scale study.SDM--a server for predicting effects of mutations on protein stability and malfunction.Improving the prediction of disease-related variants using protein three-dimensional structureSequence-only evolutionary and predicted structural features for the prediction of stability changes in protein mutants.Computational modeling of protein mutant stability: analysis and optimization of statistical potentials and structural features reveal insights into prediction model development.Predicting the phenotypic effects of non-synonymous single nucleotide polymorphisms based on support vector machinesMachine learning integration for predicting the effect of single amino acid substitutions on protein stabilityPredicting changes in protein thermostability brought about by single- or multi-site mutationsTowards sequence-based prediction of mutation-induced stability changes in unseen non-homologous proteins.Sequence feature-based prediction of protein stability changes upon amino acid substitutions.Feature-based multiple models improve classification of mutation-induced stability changes.Computational and experimental approaches to reveal the effects of single nucleotide polymorphisms with respect to disease diagnosticsGrading amino acid properties increased accuracies of single point mutation on protein stability prediction.VariBench: a benchmark database for variations.Variation Interpretation Predictors: Principles, Types, Performance, and Choice.iStable: off-the-shelf predictor integration for predicting protein stability changesSNAP: predict effect of non-synonymous polymorphisms on function.Quantitative design of regulatory elements based on high-precision strength prediction using artificial neural network.Bioinformatics challenges for personalized medicineGenotype-property patient-phenotype relations suggest that proteome exhaustion can cause amyotrophic lateral sclerosis.Predicting folding free energy changes upon single point mutationsThe Loss and Gain of Functional Amino Acid Residues Is a Common Mechanism Causing Human Inherited DiseaseExtrapolating the effect of deleterious nsSNPs in the binding adaptability of flavopiridol with CDK7 protein: a molecular dynamics approachEffects of glycosylation on the stability of protein pharmaceuticals.High-throughput structural biology of metabolic enzymes and its impact on human diseases.Computational SNP analysis: current approaches and future prospects.SDM: a server for predicting effects of mutations on protein stability.
P2860
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P2860
A neural-network-based method for predicting protein stability changes upon single point mutations.
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年学术文章
@wuu
2004年学术文章
@zh-cn
2004年学术文章
@zh-hans
2004年学术文章
@zh-my
2004年学术文章
@zh-sg
2004年學術文章
@yue
2004年學術文章
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2004年學術文章
@zh-hant
name
A neural-network-based method ...... s upon single point mutations.
@en
A neural-network-based method ...... s upon single point mutations.
@nl
type
label
A neural-network-based method ...... s upon single point mutations.
@en
A neural-network-based method ...... s upon single point mutations.
@nl
prefLabel
A neural-network-based method ...... s upon single point mutations.
@en
A neural-network-based method ...... s upon single point mutations.
@nl
P50
P356
P1433
P1476
A neural-network-based method ...... s upon single point mutations.
@en
P356
10.1093/BIOINFORMATICS/BTH928
P407
P478
20 Suppl 1
P577
2004-08-01T00:00:00Z