His primary areas of investigation include Docking, Crystallography, Protein structure, Artificial intelligence and Computer vision. His work on Searching the conformational space for docking, Protein–ligand docking and Macromolecular docking as part of general Docking research is frequently linked to Web server, thereby connecting diverse disciplines of science. Haim J. Wolfson has researched Crystallography in several fields, including Structural alignment, Sequence, Protein folding, Hydrogen bond and Binding site.
His Binding site research includes themes of Plasma protein binding, Stereochemistry and Protein–protein interaction. He has included themes like Sequence, Protein subunit, Mutant and Peptide sequence in his Protein structure study. His study looks at the relationship between Computer vision and fields such as Pattern recognition, as well as how they intersect with chemical problems.
Haim J. Wolfson focuses on Protein structure, Docking, Algorithm, Artificial intelligence and Computational biology. Haim J. Wolfson combines subjects such as Structural alignment, Crystallography, Protein folding, Peptide sequence and Binding site with his study of Protein structure. He works mostly in the field of Docking, limiting it down to concerns involving Biological system and, occasionally, Macromolecule and Resolution.
His biological study spans a wide range of topics, including Sequence, Curvature, Cluster analysis and Protein structure prediction. His Artificial intelligence research integrates issues from Computer vision and Pattern recognition. His research integrates issues of Genetics, Function, LigandScout and Pharmacophore, Bioinformatics in his study of Computational biology.
Haim J. Wolfson mostly deals with Docking, Protein structure, Algorithm, Biological system and Computational biology. His work on Searching the conformational space for docking as part of general Docking study is frequently linked to Web server, bridging the gap between disciplines. His Protein structure research is multidisciplinary, relying on both Conformational isomerism, Plasma protein binding, Sequence alignment and Macromolecular docking.
The various areas that he examines in his Algorithm study include Amino acid, Structural alignment, Pattern matching, Curve matching and Protein Data Bank. His studies deal with areas such as Crystallography, Macromolecule, Molecular dynamics and Nanocomposite as well as Biological system. He interconnects Interaction design, Structural bioinformatics, Protein–protein interaction, Macromolecular assembly and Peptide in the investigation of issues within Computational biology.
His main research concerns Docking, Algorithm, Protein structure, Searching the conformational space for docking and Binding site. The Docking study combines topics in areas such as Biological system and Decoy. His work carried out in the field of Algorithm brings together such families of science as Structural motif, Multiple sequence alignment and Pattern matching.
His Protein structure research includes themes of Structural alignment, Sequence alignment, Protein secondary structure and Protein folding. As a member of one scientific family, Haim J. Wolfson mostly works in the field of Searching the conformational space for docking, focusing on Protein–ligand docking and, on occasion, Login and Bioinformatics. His Binding site research incorporates elements of Plasma protein binding, Drug design, Pharmacophore, Stereochemistry and Combinatorial chemistry.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
PatchDock and SymmDock: servers for rigid and symmetric docking
Dina Schneidman-Duhovny;Yuval Inbar;Ruth Nussinov;Haim J. Wolfson.
Nucleic Acids Research (2005)
Principles of docking: An overview of search algorithms and a guide to scoring functions
Inbal Halperin;Buyong Ma;Haim Wolfson;Ruth Nussinov;Ruth Nussinov.
Proteins (2002)
Geometric Hashing: A General And Efficient Model-based Recognition Scheme
Y. Lamdan;H.J. Wolfson.
international conference on computer vision (1988)
Geometric hashing: an overview
H.J. Wolfson;I. Rigoutsos.
computational science and engineering (1997)
Context-free attentional operators: the generalized symmetry transform
Daniel Reisfeld;Haim Wolfson;Yehezkel Yeshurun.
International Journal of Computer Vision (1995)
Protein–protein interactions: Structurally conserved residues distinguish between binding sites and exposed protein surfaces
Buyong Ma;Tal Elkayam;Haim Wolfson;Ruth Nussinov.
Proceedings of the National Academy of Sciences of the United States of America (2003)
Efficient Unbound Docking of Rigid Molecules
Dina Duhovny;Ruth Nussinov;Haim J. Wolfson.
workshop on algorithms in bioinformatics (2002)
FireDock: fast interaction refinement in molecular docking.
Nelly Andrusier;Ruth Nussinov;Ruth Nussinov;Haim J. Wolfson.
Proteins (2007)
Affine invariant model-based object recognition
Y. Lamdan;J.T. Schwartz;H.J. Wolfson.
international conference on robotics and automation (1990)
A method for simultaneous alignment of multiple protein structures
Maxim Shatsky;Ruth Nussinov;Ruth Nussinov;Haim J. Wolfson.
Proteins (2004)
Profile was last updated on December 6th, 2021.
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