Literature DB >> 11585448

Statistical molecular design, parallel synthesis, and biological evaluation of a library of thrombin inhibitors.

A Linusson1, J Gottfries, T Olsson, E Ornskov, S Folestad, B Nordén, S Wold.   

Abstract

A library of thrombin inhibitors has been designed using statistical molecular design. An aromatic scaffold was used, with three varied positions corresponding to three pockets at the active site of thrombin (the S-, P-, and D-pockets). The selection was performed in the building block space, and previously acquired data were included in the design procedure. The design resulted in six, four, and six building blocks for the first (S), second (P), and third (D) pockets, respectively. A second round of selection applied to the combined selected building blocks resulted in a subset of 18 compounds. The selected library was synthesized in parallel and biologically evaluated. The compounds were analyzed with respect to their inhibition (pIC(50)) of thrombin; membrane permeability, estimated by migration behavior in micellar media (CE log k') and pK(a); and specificity with respect to inhibition (K(i)) of trypsin. Multivariate QSAR studies of the responses yielded valuable results and information that could only be found using statistical molecular design in combination with multivariate analysis.

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Year:  2001        PMID: 11585448     DOI: 10.1021/jm010833f

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  3 in total

1.  Anti-AIDS agents 79. Design, synthesis, molecular modeling and structure-activity relationships of novel dicamphanoyl-2',2'-dimethyldihydropyranochromone (DCP) analogs as potent anti-HIV agents.

Authors:  Ting Zhou; Qian Shi; Chin-Ho Chen; Hao Zhu; Li Huang; Phong Ho; Kuo-Hsiung Lee
Journal:  Bioorg Med Chem       Date:  2010-08-02       Impact factor: 3.641

2.  Quantum and molecular dynamics study for binding of macrocyclic inhibitors to human alpha-thrombin.

Authors:  Emilia L Wu; Ye Mei; KeLi Han; John Z H Zhang
Journal:  Biophys J       Date:  2007-03-23       Impact factor: 4.033

3.  A chemical family-based strategy for uncovering hidden bioactive molecules and multicomponent interactions in herbal medicines.

Authors:  Hui-Peng Song; Si-Qi Wu; Haiping Hao; Jun Chen; Jun Lu; Xiaojun Xu; Ping Li; Hua Yang
Journal:  Sci Rep       Date:  2016-03-30       Impact factor: 4.379

  3 in total

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