A fast flexible docking method using an incremental construction algorithm.
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Summary
This work presents an automatic method for docking organic ligands into protein binding sites that combines an appropriate model of the physico-chemical properties of the docked molecules with efficient methods for sampling the conformational space of the ligand.
- Type
- article
- Published
- 1996-08-23
- Cited by
- 2,608
- References
- 83
- OpenAlex
- https://openalex.org/W2114779636
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:18471557
Keywords
Docking (animal), Ligand (biochemistry), Algorithm, Searching the conformational space for docking, Protein–ligand docking
References
- The Protein Data Bank: a computer-based archival file for macromolecular structures.
- Refined 1.83 A structure of trypanosomal triosephosphate isomerase crystallized in the presence of 2.4 M-ammonium sulphate. A comparison with the structure of the trypanosomal triosephosphate isomerase-glycerol-3-phosphate complex.
- The transition of bovine trypsinogen to a trypsin-like state upon strong ligand binding. The refined crystal structures of the bovine trypsinogen-pancreatic trypsin inhibitor complex and of its ternary complex with Ile-Val at 1.9 A resolution.
- The transition of bovine trypsinogen to a trypsin-like state upon strong ligand binding. II. The binding of the pancreatic trypsin inhibitor and of isoleucine-valine and of sequentially related peptides to trypsinogen and to p-guanidinobenzoate-trypsinogen.
- The computer program LUDI: A new method for the de novo design of enzyme inhibitors
- Flavin-oxygen derivatives involved in hydroxylation by p-hydroxybenzoate hydroxylase.
- STUDIES ON THE ACTIVE CENTER OF TRYPSIN. THE BINDING OF AMIDINES AND GUANIDINES AS MODELS OF THE SUBSTRATE SIDE CHAIN.
- LUDI: rule-based automatic design of new substituents for enzyme inhibitor leads
- Distance Geometry and Molecular Conformation
- Crystal structures of Escherichia coli and Lactobacillus casei dihydrofolate reductase refined at 1.7 A resolution. II. Environment of bound NADPH and implications for catalysis.
- The development of a simple empirical scoring function to estimate the binding constant for a protein-ligand complex of known three-dimensional structure
- Geometry of binding of the benzamidine- and arginine-based inhibitors N alpha-(2-naphthyl-sulphonyl-glycyl)-DL-p-amidinophenylalanyl-pipe ridine (NAPAP) and (2R,4R)-4-methyl-1-[N alpha-(3-methyl-1,2,3,4-tetrahydro-8- quinolinesulphonyl)-L-arginyl]-2-piperidine carboxylic acid (MQPA) to human alpha-t
- Automated structure design in 3D
- Automated docking of substrates to proteins by simulated annealing
- Restrained least‐squares refinement of the crystal structure of the ribonuclease T1*2'‐guanylic acid complex at 1·9 Å resolution
- Rational automatic search method for stable docking models of protein and ligand.
- A fast and efficient method to generate biologically relevant conformations
- Molecular recognition of receptor sites using a genetic algorithm with a description of desolvation.
- Current methods for site-directed structure generation
- Structure-Based Strategies for Drug Design and Discovery
Cited by
- Solving motion planning problems by iterative relaxation of constraints
- A model for the function of the bisphosphorylated heart-specific troponin-I N-terminus
- Life-science applications of the Cambridge Structural Database.
- CHAPTER 4Genetic algorithms in molecular modelling: a review
- 1,2-Dithiole-3-Ones as Potent Inhibitors of the Bacterial 3-Ketoacyl Acyl Carrier Protein Synthase III (FabH)
- Enzyme Binding Selectivity Prediction: alpha-Thrombin vs Trypsin Inhibition
- Docking and scoring in virtual screening for drug discovery: methods and applications
- Cyclophilin A Binds to Linear Peptide Motifs Containing a Consensus That Is Present in Many Human Proteins*
- Combining docking and molecular dynamic simulations in drug design
- Yucca: An Efficient Algorithm for Small‐Molecule Docking
- How reliable are current docking approaches for structure-based drug design? Lessons from aldose reductase.
- Salicylaldehyde derivatives as new protein kinase CK2 inhibitors.
- Synthesis, biological active molecular design, and molecular docking study of novel deazaflavin-cholestane hybrid compounds.
- A fast protein-ligand docking algorithm based on hydrogen bond matching and surface shape complementarity
- New potent dual inhibitors of CK2 and Pim kinases: discovery and structural insights
- Structural investigations of anthranilimide derivatives by CoMFA and CoMSIA 3D-QSAR studies reveal novel insight into their structures toward glycogen phosphorylase inhibition
- Novel Inhibitors of Trihydroxynaphthalene Reductase with Antifungal Activity Identified by Ligand-Based and Structure-Based Virtual Screening
- AADS - An Automated Active Site Identification, Docking, and Scoring Protocol for Protein Targets Based on Physicochemical Descriptors
- Role of a SpoVA Protein in Dipicolinic Acid Uptake into Developing Spores of Bacillus subtilis
- QuickVina: Accelerating AutoDock Vina Using Gradient-Based Heuristics for Global Optimization
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