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Frontiers in Microbiology|March 22, 2024
AGRAMP: machine learning models for predicting antimicrobial peptides against phytopathogenic bacteriaJonathan Shao, Yan Zhao, Wei Wei, et al.Proteins|June 15, 2020
cnnAlpha: Protein disordered regions prediction by reduced amino acid alphabets and convolutional neural networksMauricio Oberti, Iosif I VaismanAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
A structure-based computational mutagenesis elucidates the spectrum of stability-activity relationships in proteinsMajid Masso, Iosif I VaismanJournal of Theoretical Biology|July 27, 2010
Knowledge-based computational mutagenesis for predicting the disease potential of human non-synonymous single nucleotide polymorphismsMajid Masso, Iosif I VaismanProtein Engineering, Design & Selection : PEDS|June 25, 2010
AUTO-MUTE: web-based tools for predicting stability changes in proteins due to single amino acid replacementsMajid Masso, Iosif I VaismanBiochemical and Biophysical Research Communications|May 15, 2003
Comprehensive mutagenesis of HIV-1 protease: a computational geometry approachMajid Masso, Iosif I VaismanBMC Genomics|November 26, 2013
Sequence and structure based models of HIV-1 protease and reverse transcriptase drug resistanceMajid Masso, Iosif I VaismanBioinformatics (Oxford, England)|November 6, 2007
Accurate prediction of enzyme mutant activity based on a multibody statistical potentialMajid Masso, Iosif I VaismanBMC Bioinformatics|October 7, 2010
Accurate and efficient gp120 V3 loop structure based models for the determination of HIV-1 co-receptor usageMajid Masso, Iosif I VaismanBioinformatics (Oxford, England)|July 18, 2008
Accurate prediction of stability changes in protein mutants by combining machine learning with structure based computational mutagenesisMajid Masso, Iosif I VaismanPageof 2,203