Publications

Found 10 results
Filters: Keyword is Artificial Intelligence  [Clear All Filters]
2021
Dallago C, Schütze K, Heinzinger M, Olenyi T, Littmann M, Lu AX, Yang KK, Min S, Yoon S, Morton JT, et al. Learned Embeddings from Deep Learning to Visualize and Predict Protein Sets. Curr Protoc. 2021 ;1(5):e113.
2014
Goldberg T, Hecht M, Hamp T, Karl T, Yachdav G, Ahmed N, Altermann U, Angerer P, Ansorge S, Balasz K, et al. LocTree3 prediction of localization. Nucleic Acids Res. 2014 ;42(Web Server issue):W350-5.
2010
Wainreb G, Ashkenazy H, Bromberg Y, Starovolsky-Shitrit A, Haliloglu T, Ruppin E, Avraham KB, Rost B, Ben-Tal N. MuD: an interactive web server for the prediction of non-neutral substitutions using protein structural data. Nucleic Acids Res. 2010 ;38(Web Server issue):W523-8.
2009
Wrzeszczynski KO, Rost B. Cell cycle kinases predicted from conserved biophysical properties. Proteins. 2009 ;74(3):655-68.
2008
Punta M, Rost B. Neural networks predict protein structure and function. Methods Mol Biol. 2008 ;458:203-30.
Soong T-T, Wrzeszczynski KO, Rost B. Physical protein-protein interactions predicted from microarrays. Bioinformatics. 2008 ;24(22):2608-14.
Nair R, Rost B. Protein subcellular localization prediction using artificial intelligence technology. Methods Mol Biol. 2008 ;484:435-63.
2007
Schlessinger A, Liu J, Rost B. Natively unstructured loops differ from other loops. PLoS Comput Biol. 2007 ;3(7):e140.
2004
Mika S, Rost B. NLProt: extracting protein names and sequences from papers. Nucleic Acids Res. 2004 ;32(Web Server issue):W634-7.
Mika S, Rost B. Protein names precisely peeled off free text. Bioinformatics. 2004 ;20 Suppl 1:i241-7.