Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Accurate prediction of functional effects for variants by combining gradient tree boosting with optimal neighborhood properties.

PloS one - 1 Jan 2017

Pan Yuliang, Liu Diwei, Deng Lei

Abstract excerpt

Single amino acid variations (SAVs) potentially alter biological functions, including causing diseases or natural differences between individuals. Identifying the relationship between a SAV and certain disease provides the starting point for understanding the underlying mechanisms of specific associations, and can help further prevention and diagnosis of inherited disease.We propose PredSAV, a computational...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Amino Acid Substitution
Share to Computational Biology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Disease

Share to Models, Molecular

Share to Protein Conformation

Share to Proteins

Share to Reproducibility of Results

Source

Open in PubMed Open full text

Identifiers

PMID: 28614374
DOI: 10.1371/journal.pone.0179314
PMCID: PMC5470696

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Accurate prediction of functional effects for variants by combining gradient tree boosting with optimal neighborhood properties.PMID 28614374Read ↗

MvPPT: a highly efficient and sensitive pathogenicity prediction tool for missense variantsSemantic proximity Read ↗

Identification of Diseases caused by non-Synonymous Single Nucleotide Polymorphism using Machine Learning AlgorithmsSemantic proximity Read ↗

FunSAV: predicting the functional effect of single amino acid variants using a two-stage random forest model.Semantic proximity Read ↗

PHACTboost: A Phylogeny-aware Boosting Algorithm to Compute the Pathogenicity of Missense MutationsSemantic proximity Read ↗

AlphaRING-X: accurate interpretation of missense variant deleteriousness based on protein structural stabilitySemantic proximity Read ↗

Decoding the effects of synonymous variantsSemantic proximity Read ↗

In silico prediction of deleterious single amino acid polymorphisms from amino acid sequence.Semantic proximity Read ↗

Decoding the effects of synonymous variants.Semantic proximity Read ↗

Analysis and prediction of the effects of single amino acid variants in human diseaseSemantic proximity Read ↗

Accurate Sequence-Based Prediction of Deleterious nsSNPs with Multiple Sequence Profiles and Putative Binding Residues.Semantic proximity Read ↗

Partition dataset according to amino acid type improves the prediction of deleterious non-synonymous SNPs.Semantic proximity Read ↗

Combining structural modeling with ensemble machine learning to accurately predict protein fold stability and binding affinity effects upon mutation.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.