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Quantum Drug hit identification tool
Drug Hit Identification Tool calculates the IC50 (Kd, Ki, pKd) value of any protein-ligand complex, docks a small-molecule in the active site of a protein and performs screening a library of compounds against a target-protein or DNA/RNA. Hit Identification Tool consists of three modules: The IC50 module, 2) Ligand Docking and 3) Library Screening modules. Drug Hit Identification Tool can run both in Windows and Linux environments.
Hit Identification overview brochure![]()
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Title: REV RESPONSE ELEMENT (RRE) RNA COMPLEXED WITH REV PEPTIDE, NMR, 19 STRUCTURES |
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Functional Class: Virus/viral Protein/rna Primary citation: Battiste, J.L.,Mao, H.,Rao, N.S.,Tan, R.,Muhandiram, D.R.,Kay, L.E.,Frankel, A.D.,Williamson, J.R. Alpha helix-RNA major groove recognition in an HIV-1 rev peptide-RRE RNA complex. Science v273 pp.1547-1551, 1996 |
Abstract Title: Alpha helix-RNA major groove recognition in an HIV-1 rev peptide-RRE RNA complex.
Keywords: Synthetic, Viral, Construct, Dna-binding, Support, Bonding, Conformation, Non-u.s., Kinases, Molecular, Composition, Peptide, Models, D1etgb_, Hydrogen, Genes, Arginine, Immunodeficiency, Hiv-1, Base, Fragments, Threonine, Type, Structure, Secondary, (1etg:a), Saccharomyces, Binding, U.s., Proteins, Element, Virus, Products, Spectroscopy, Arg-rich, Responsive, Resonance, Gene, Cerevisiae, Fungal, Research, Sequence, Data, Hiv-1, Peptides, Asparagine, Nucleic, Peptides, (1etg:b), Human, P.h.s., Protein, Acid, Gov't, Magnetic, Amino, Machinery, Predictive powers, Simulation, Accuracy, Dissociation constant ligand docking, Optimize ligand alignments in torsional space, Performance, Kd, Relative selectivity associated, Confirmed, Yielded, Nanomolar, Correlation, Known, Cadd, Experimental, Comparison, Binding constant, Protein-ligand complexes, Proof of concept, Average, Absolute, Error, Kj/mol; relative error, Rmsd, Applications, Technology developers. platform, Range, Outstanding, Pkd, Molar, Dissolution, Dissociation constant, Pk receptor, Ab-initio first principals chemoinformatics, Sar, Pharmacological studies, Multigrid methods, Local optimization, Identification of low energy, Temperature, Nmol, Entropy contribution, Deactivate, Linear scaling, Quantum mechanics, Quantitative structure/activity relationship, Receptor are scored, Hierarchical filter, Genetic algorithm for protein-ligand docking,







