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On the biases in predictions of protein stability changes upon variations: the INPS test case.

, , , , and . Bioinform., 35 (14): 2525-2527 (2019)

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Predicting protein stability changes from sequences using support vector machines., , , and . ECCB/JBI, page 58. (2005)An ENSEMBLE machine learning approach for the prediction of all-alpha membrane proteins., , and . ISMB (Supplement of Bioinformatics), page 205-211. (2003)The prediction of organelle-targeting peptides in eukaryotic proteins with Grammatical-Restrained Hidden Conditional Random Fields., , , , and . Bioinform., 29 (8): 981-988 (2013)ASPicDB: a database of annotated transcript and protein variants generated by alternative splicing., , , , , , , , , and 10 other author(s). Nucleic Acids Res., 39 (Database-Issue): 80-85 (2011)TRAMPLE: the transmembrane protein labelling environment., , , , , , and . Nucleic Acids Res., 33 (Web-Server-Issue): 198-201 (2005)MaxSubSeq: an algorithm for segment-length optimization. The case study of the transmembrane spanning segments., , , , , and . Bioinform., 19 (4): 500-505 (2003)Calibrating variant-scoring methods for clinical decision making., , and . Bioinform., 36 (24): 5709-5711 (2021)On the biases in predictions of protein stability changes upon variations: the INPS test case., , , , and . Bioinform., 35 (14): 2525-2527 (2019)Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset., , , , , , , and . Briefings Bioinform., (2022)A three-state prediction of single point mutations on protein stability changes., , , and . BMC Bioinform., (2008)