Literature DB >> 7964925

The development of a simple empirical scoring function to estimate the binding constant for a protein-ligand complex of known three-dimensional structure.

H J Böhm1.   

Abstract

A new simple empirical function has been developed that estimates the free energy of binding for a given protein-ligand complex of known 3D structure. The function takes into account hydrogen bonds, ionic interactions, the lipophilic protein-ligand contact surface and the number of rotatable bonds in the ligand. The dataset for the calibration of the function consists of 45 protein-ligand complexes. The new energy function reproduces the binding constants (ranging from 2.5.10(-2) to 4.10(-14) M, corresponding to binding energies between -9 and -76 kJ/mol) of the dataset with a standard deviation of 7.9 kJ/mol, corresponding to 1.4 orders of magnitude in binding affinity. The individual contributions to protein-ligand binding obtained from the scoring function are: ideal neutral hydrogen bond: -4.7 kJ/mol; ideal ionic interaction: -8.3 kJ/mol; lipophilic contact: -0.17 kJ/mol A2; one rotatable bond in the ligand: +1.4 kJ/mol. The function also contains a constant contribution (+5.4 kJ/mol) which may be rationalized as loss of translational and rotational entropy. The function can be evaluated very fast and is therefore also suitable for application in a 3D database search or de novo ligand design program such as LUDI.

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Year:  1994        PMID: 7964925     DOI: 10.1007/BF00126743

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  48 in total

1.  Computer design of bioactive molecules: a method for receptor-based de novo ligand design.

Authors:  J B Moon; W J Howe
Journal:  Proteins       Date:  1991

2.  Thiorphan and retro-thiorphan display equivalent interactions when bound to crystalline thermolysin.

Authors:  S L Roderick; M C Fournie-Zaluski; B P Roques; B W Matthews
Journal:  Biochemistry       Date:  1989-02-21       Impact factor: 3.162

3.  A method for fast energy estimation and visualization of protein-ligand interaction.

Authors:  N Tomioka; A Itai; Y Iitaka
Journal:  J Comput Aided Mol Des       Date:  1987-10       Impact factor: 3.686

Review 4.  On the rational design of renin inhibitors: X-ray studies of aspartic proteinases complexed with transition-state analogues.

Authors:  T L Blundell; J Cooper; S I Foundling; D M Jones; B Atrash; M Szelke
Journal:  Biochemistry       Date:  1987-09-08       Impact factor: 3.162

5.  Structural analysis of a series of antiviral agents complexed with human rhinovirus 14.

Authors:  J Badger; I Minor; M J Kremer; M A Oliveira; T J Smith; J P Griffith; D M Guerin; S Krishnaswamy; M Luo; M G Rossmann
Journal:  Proc Natl Acad Sci U S A       Date:  1988-05       Impact factor: 11.205

6.  Inhibition of bovine and human thrombins by derivatives of benzamidine.

Authors:  J Stürzebecher; P Walsmann; B Voigt; G Wagner
Journal:  Thromb Res       Date:  1984-12-01       Impact factor: 3.944

7.  Calorimetric study of concanavalin A binding to saccharides.

Authors:  M Dani; F Manca; G Rialdi
Journal:  Biochim Biophys Acta       Date:  1981-01-30

8.  On the structure selectivity problem in drug design. A comparative study of benzylpyrimidine inhibition of vertebrate and bacterial dihydrofolate reductase via molecular graphics and quantitative structure-activity relationships.

Authors:  C D Selassie; Z X Fang; R L Li; C Hansch; G Debnath; T E Klein; R Langridge; B T Kaufman
Journal:  J Med Chem       Date:  1989-08       Impact factor: 7.446

9.  Hemagglutinins from two influenza virus variants bind to sialic acid derivatives with millimolar dissociation constants: a 500-MHz proton nuclear magnetic resonance study.

Authors:  N K Sauter; M D Bednarski; B A Wurzburg; J E Hanson; G M Whitesides; J J Skehel; D C Wiley
Journal:  Biochemistry       Date:  1989-10-17       Impact factor: 3.162

10.  New hydrogen-bond potentials for use in determining energetically favorable binding sites on molecules of known structure.

Authors:  D N Boobbyer; P J Goodford; P M McWhinnie; R C Wade
Journal:  J Med Chem       Date:  1989-05       Impact factor: 7.446

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  191 in total

1.  The sensitivity of the results of molecular docking to induced fit effects: application to thrombin, thermolysin and neuraminidase.

Authors:  C W Murray; C A Baxter; A D Frenkel
Journal:  J Comput Aided Mol Des       Date:  1999-11       Impact factor: 3.686

2.  MCDOCK: a Monte Carlo simulation approach to the molecular docking problem.

Authors:  M Liu; S Wang
Journal:  J Comput Aided Mol Des       Date:  1999-09       Impact factor: 3.686

3.  Analysis of knowledge-based protein-ligand potentials using a self-consistent method.

Authors:  J Shimada; A V Ishchenko; E I Shakhnovich
Journal:  Protein Sci       Date:  2000-04       Impact factor: 6.725

4.  A comparative study of ligand-receptor complex binding affinity prediction methods based on glycogen phosphorylase inhibitors.

Authors:  S S So; M Karplus
Journal:  J Comput Aided Mol Des       Date:  1999-05       Impact factor: 3.686

5.  Comparison of two implementations of the incremental construction algorithm in flexible docking of thrombin inhibitors.

Authors:  R M Knegtel; D M Bayada; R A Engh; W von der Saal; V J van Geerestein; P D Grootenhuis
Journal:  J Comput Aided Mol Des       Date:  1999-03       Impact factor: 3.686

6.  Scoring functions: a view from the bench.

Authors:  J R Tame
Journal:  J Comput Aided Mol Des       Date:  1999-03       Impact factor: 3.686

7.  Combinatorial docking and combinatorial chemistry: design of potent non-peptide thrombin inhibitors.

Authors:  H J Böhm; D W Banner; L Weber
Journal:  J Comput Aided Mol Des       Date:  1999-01       Impact factor: 3.686

8.  Computer based screening of compound databases: 1. Preselection of benzamidine-based thrombin inhibitors.

Authors:  T Fox; E E Haaksma
Journal:  J Comput Aided Mol Des       Date:  2000-07       Impact factor: 3.686

9.  Identification of ligands for RNA targets via structure-based virtual screening: HIV-1 TAR.

Authors:  A V Filikov; V Mohan; T A Vickers; R H Griffey; P D Cook; R A Abagyan; T L James
Journal:  J Comput Aided Mol Des       Date:  2000-08       Impact factor: 3.686

10.  Receptor-based 3D QSAR analysis of estrogen receptor ligands--merging the accuracy of receptor-based alignments with the computational efficiency of ligand-based methods.

Authors:  W Sippl
Journal:  J Comput Aided Mol Des       Date:  2000-08       Impact factor: 3.686

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