PROVEAN web server: a tool to predict the functional effect of amino acid substitutions and indels
By Yongwook Choi, Agnes P. Chan. 2015
2,360 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Nick V. Grishin
- Lisa N. Kinch
- Georgios Spyroulias
- Minos-Timotheos Matsoukas
- Zbyszek Otwinowski
- Jimin Pei
- Theodora Katsila
- George P. Patrinos
In Molecular Biology
- Lisa N. Kinch
- Nick V. Grishin
- Jimin Pei
- Zbyszek Otwinowski
- Georgios Spyroulias
- Minos-Timotheos Matsoukas
- Theodora Katsila
- George P. Patrinos
Citations in the corpus
- Mutation severity spectrum of rare alleles in the human genome is predictive of disease type (2019, methodology): “Testing on an independent set of SAVs (3,000 pathogenic and 3,000 benign), DeepSAV yields better performance (measured by area under the ROC (receiver operating characteristic) curve (AUC)) to differentiate pathogenic from benign SAVs than many stand-alone programs such as SIFT [36], polyphen-2 [37]”
- The somatic mutation profiles of 2,433 breast cancers refines their genomic and transcriptomic landscapes (2016, neutral): “IntClust1 (136) IntClust4+ (188) IntClust6 (87) IntClust2 (72) IntClust4− (64) IntClust7 (187) IntClust9 (147) IntClust10 (216) IntClust3 (277) IntClust5 (185) IntClust8 (304) c”
- Computational approaches in target identification and drug discovery (2016, methodology): “PROVEAN (Protein Variation Effect Analyzer) is a software tool which predicts whether an amino acid substitution or indel has an impact on the biological function of a protein [37] and GenePattern provides with analytical tools for the analysis of gene expression, sequence variation and network anal”