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Majid Masso
Majid Masso
Laboratory for Structural Bioinformatics, School of Systems Biology, George Mason University
Verified email at gmu.edu - Homepage
Title
Cited by
Cited by
Year
Accurate prediction of stability changes in protein mutants by combining machine learning with structure based computational mutagenesis
M Masso, II Vaisman
Bioinformatics 24 (18), 2002-2009, 2008
1812008
AUTO-MUTE: web-based tools for predicting stability changes in proteins due to single amino acid replacements
M Masso, II Vaisman
Protein Engineering, Design & Selection 23 (8), 683-687, 2010
1072010
AUTO-MUTE 2.0: a portable framework with enhanced capabilities for predicting protein functional consequences upon mutation
M Masso, II Vaisman
Advances in bioinformatics 2014, 2014
662014
Accurate prediction of enzyme mutant activity based on a multibody statistical potential
M Masso, II Vaisman
Bioinformatics 23 (23), 3155-3161, 2007
632007
Knowledge-based computational mutagenesis for predicting the disease potential of human non-synonymous single nucleotide polymorphisms
M Masso, II Vaisman
Journal of Theoretical Biology 266 (4), 560-568, 2010
602010
Statistical geometry based prediction of nonsynonymous SNP functional effects using random forest and neuro‐fuzzy classifiers
M Barenboim, M Masso, II Vaisman, DC Jamison
Proteins: Structure, Function, and Bioinformatics 71 (4), 1930-1939, 2008
452008
Comprehensive mutagenesis of HIV-1 protease: a computational geometry approach
M Masso, II Vaisman
Biochemical and Biophysical Research Communications 305 (2), 322-326, 2003
382003
Computational mutagenesis studies of protein structure‐function correlations
M Masso, Z Lu, II Vaisman
Proteins: Structure, Function, and Bioinformatics 64 (1), 234-245, 2006
372006
Accurate and efficient gp120 V3 loop structure based models for the determination of HIV-1 co-receptor usage
M Masso, II Vaisman
BMC bioinformatics 11, 1-11, 2010
282010
Sequence and structure based models of HIV-1 protease and reverse transcriptase drug resistance
M Masso, II Vaisman
BMC genomics 14, 1-13, 2013
212013
A combined sequence–structure approach for predicting resistance to the non-nucleoside HIV-1 reverse transcriptase inhibitor Nevirapine
VL Ravich, M Masso, II Vaisman
Biophysical chemistry 153 (2-3), 168-172, 2011
182011
Structure-based prediction of protein activity changes: assessing the impact of single residue replacements
M Masso, II Vaisman
2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011
132011
Computational Mutagenesis of E. coli Lac Repressor: Insight into Structure-Function Relationships and Accurate Prediction of Mutant Activity
M Masso, K Hijazi, N Parvez, II Vaisman
Bioinformatics Research and Applications: Fourth International Symposium …, 2008
122008
All-atom four-body knowledge-based statistical potential to distinguish native tertiary RNA structures from nonnative folds
M Masso
Journal of Theoretical Biology 453, 58-67, 2018
82018
All-atom four-body knowledge-based statistical potentials to distinguish native protein structures from nonnative folds
M Masso
BioMed Research International 2017, 2017
82017
Structure-based predictors of resistance to the HIV-1 integrase inhibitor Elvitegravir
M Masso, G Chuang, S Jain, K Hao, II Vaisman
Biophysical Journal 106 (2), 409a, 2014
82014
A structure-based computational mutagenesis elucidates the spectrum of stability-activity relationships in proteins
M Masso, II Vaisman
2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011
72011
Modeling the functional consequences of single residue replacements in bacteriophage f1 gene V protein
M Masso, E Mathe, N Parvez, K Hijazi, II Vaisman
Protein Engineering, Design & Selection 22 (11), 665-671, 2009
72009
Sequence-based predictive models of resistance to HIV-1 integrase inhibitors: an n-grams approach to phenotype assessment
M Masso
Current HIV Research 13 (6), 497-502, 2015
62015
Prediction of human immunodeficiency virus type 1 drug resistance: representation of target sequence mutational patterns via an n-grams approach
M Masso
2012 IEEE International Conference on Bioinformatics and Biomedicine, 1-6, 2012
62012
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