Literature DB >> 20540063

High-throughput virtual screening using quantum mechanical probes: discovery of selective kinase inhibitors.

Ting Zhou1, Amedeo Caflisch.   

Abstract

A procedure based on semi-empirical quantum mechanical (QM) calculations of interaction energy is proposed for the rapid screening of compound poses generated by high-throughput docking. Small molecules (consisting of 2-10 atoms and termed "probes") are overlapped with polar groups in the binding site of the protein target. The interaction energy values between each compound pose and the probes, calculated by a semi-empirical Hamiltonian, are used as filters. The QM probe method does not require fixed partial charges and takes into account polarization and charge-transfer effects which are not captured by conventional force fields. The procedure is applied to screen approximately 100 million poses (of 2.7 million commercially available compounds) obtained by high-throughput docking in the ATP binding site of the tyrosine kinase erythropoietin-producing human hepatocellular carcinoma receptor B4 (EphB4). Three QM probes on the hinge region and one at the entrance pocket are employed to select for binding affinity, while a QM probe on the side chain of the so-called gatekeeper residue (a hypervariable residue in the kinome) is used to enforce selectivity. The poses with favorable interactions with the five QM probes are filtered further for hydrophobic matching and low ligand strain. In this way, a single-digit micromolar inhibitor of EphB4 with a relatively good selectivity profile is identified in a multimillion-compound library upon experimental tests of only 23 molecules.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20540063     DOI: 10.1002/cmdc.201000085

Source DB:  PubMed          Journal:  ChemMedChem        ISSN: 1860-7179            Impact factor:   3.466


  12 in total

Review 1.  Targeting Eph receptors with peptides and small molecules: progress and challenges.

Authors:  Roberta Noberini; Ilaria Lamberto; Elena B Pasquale
Journal:  Semin Cell Dev Biol       Date:  2011-10-25       Impact factor: 7.727

2.  Transferable scoring function based on semiempirical quantum mechanical PM6-DH2 method: CDK2 with 15 structurally diverse inhibitors.

Authors:  Petr Dobeš; Jindřich Fanfrlík; Jan Rezáč; Michal Otyepka; Pavel Hobza
Journal:  J Comput Aided Mol Des       Date:  2011-02-01       Impact factor: 3.686

3.  Structural Analysis of the Binding of Type I, I1/2, and II Inhibitors to Eph Tyrosine Kinases.

Authors:  Jing Dong; Hongtao Zhao; Ting Zhou; Dimitrios Spiliotopoulos; Chitra Rajendran; Xiao-Dan Li; Danzhi Huang; Amedeo Caflisch
Journal:  ACS Med Chem Lett       Date:  2014-09-29       Impact factor: 4.345

Review 4.  Induced fit docking, and the use of QM/MM methods in docking.

Authors:  Mengang Xu; Markus A Lill
Journal:  Drug Discov Today Technol       Date:  2013-09

5.  Molecular dynamics simulation and density functional theory studies on the active pocket for the binding of paclitaxel to tubulin.

Authors:  Sichuan Xu; Shaoming Chi; Yi Jin; Qiang Shi; Maofa Ge; Shu Wang; Xingkang Zhang
Journal:  J Mol Model       Date:  2011-05-03       Impact factor: 1.810

6.  Structure-activity relationships and mechanism of action of Eph-ephrin antagonists: interaction of cholanic acid with the EphA2 receptor.

Authors:  Massimiliano Tognolini; Matteo Incerti; Iftiin Hassan-Mohamed; Carmine Giorgio; Simonetta Russo; Renato Bruni; Barbara Lelli; Luisa Bracci; Roberta Noberini; Elena B Pasquale; Elisabetta Barocelli; Paola Vicini; Marco Mor; Alessio Lodola
Journal:  ChemMedChem       Date:  2012-04-23       Impact factor: 3.466

7.  Quantum Mechanics Approaches to Drug Research in the Era of Structural Chemogenomics.

Authors:  Andrey V Ilatovskiy; Ruben Abagyan; Irina Kufareva
Journal:  Int J Quantum Chem       Date:  2013-06-15       Impact factor: 2.444

8.  Hydrogen bonding penalty upon ligand binding.

Authors:  Hongtao Zhao; Danzhi Huang
Journal:  PLoS One       Date:  2011-06-17       Impact factor: 3.240

9.  Machine Learning of Parameters for Accurate Semiempirical Quantum Chemical Calculations.

Authors:  Pavlo O Dral; O Anatole von Lilienfeld; Walter Thiel
Journal:  J Chem Theory Comput       Date:  2015-04-02       Impact factor: 6.006

10.  In silico screening of 393 mutants facilitates enzyme engineering of amidase activity in CalB.

Authors:  Martin R Hediger; Luca De Vico; Julie B Rannes; Christian Jäckel; Werner Besenmatter; Allan Svendsen; Jan H Jensen
Journal:  PeerJ       Date:  2013-08-29       Impact factor: 2.984

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.