Iosif I. Vaisman
Iosif I. Vaisman
Professor of Bioinformatics and Computational Biology, School of Systems Biology, George Mason
Verified email at
Cited by
Cited by
Local structural order and molecular associations in water-DMSO mixtures. Molecular dynamics study
II Vaisman, ML Berkowitz
Journal of the American Chemical Society 114 (20), 7889-7896, 1992
Delaunay tessellation of proteins: four body nearest-neighbor propensities of amino acid residues
RK Singh, A Tropsha, II Vaisman
Journal of Computational Biology 3 (2), 213-221, 1996
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
Discrimination of thermophilic and mesophilic proteins
T Todd, V Iosif
Taylor and Vaisman BMC Structural Biology 10, 2010
Chemistry of Non Aqueous Solutions: Current Progress
YM Kessler, YP Puhovski, MG Kiselev, II Vaisman, G Mamantov, AI Popov
Chemistry of Non Aqueous Solutions: Current Progress, 1994
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
Cell surface expression of CD147/EMMPRIN is regulated by cyclophilin 60
T Pushkarsky, V Yurchenko, C Vanpouille, B Brichacek, I Vaisman, ...
Journal of Biological Chemistry 280 (30), 27866-27871, 2005
Distance dependence of water structure around model solutes
II Vaisman, FK Brown, A Tropsha
The Journal of Physical Chemistry 98 (21), 5559-5564, 1994
Machine learning approach for structure-based zeolite classification
DA Carr, M Lach-hab, S Yang, II Vaisman, E Blaisten-Barojas
Microporous and Mesoporous Materials 117 (1-2), 339-349, 2009
Accurate prediction of enzyme mutant activity based on a multibody statistical potential
M Masso, II Vaisman
Bioinformatics 23 (23), 3155-3161, 2007
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
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
Simplicial neighborhood analysis of protein packing (SNAPP): a computational geometry approach to studying proteins
A Tropsha, CW Carter Jr, S Cammer, II Vaisman
Methods in enzymology 374, 509-544, 2003
Compositional preferences in quadruplets of nearest neighbor residues in protein structures: statistical geometry analysis
II Vaisman, A Tropsha, W Zheng
Proceedings. IEEE International Joint Symposia on Intelligence and Systems …, 1998
A simple topological representation of protein structure: implications for new, fast, and robust structural classification
DL Bostick, M Shen, II Vaisman
Proteins: Structure, Function, and Bioinformatics 56 (3), 487-501, 2004
A new topological method to measure protein structure similarity
D Bostick, II Vaisman
Biochemical and Biophysical Research Communications 304 (2), 320-325, 2003
A new approach to protein fold recognition based on Delaunay tessellation of protein structure.
W Zheng, SJ Cho, II Vaisman, A Tropsha
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 486-497, 1997
Statistical geometry analysis of proteins: implications for inverted structure prediction.
A Tropsha, RK Singh, II Vaisman, W Zheng
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 614-623, 1996
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
Mobility of stretched water
II Vaisman, L Perera, ML Berkowitz
The Journal of chemical physics 98 (12), 9859-9862, 1993
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