Literature DB >> 17295464

Analysis of human carbonic anhydrase II: docking reliability and receptor-based 3D-QSAR study.

Tiziano Tuccinardi1, Elisa Nuti, Gabriella Ortore, Claudiu T Supuran, Armando Rossello, Adriano Martinelli.   

Abstract

The ability of Gold software to predict the binding disposition of carbonic anhydrase (CA) inhibitors was evaluated using CA II as a case study. The best procedure was subsequently used for docking almost 300 CA II ligands, and the best poses were used as an alignment tool for the development of a 3D quantitative structure-activity relationship (QSAR) study. Evaluation of the resulting 3D-QSAR model allowed us to indicate the ligand properties and residues important for CA II inhibition. Since CAs are an important target involved in many pathologies such as glaucoma, obesity, and tumors, the results obtained could accurately predict the binding affinity of newly designed CA II inhibitors. Furthermore, it is reasonable that this strategy could be profitably used also for the investigation of other CAs.

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Year:  2007        PMID: 17295464     DOI: 10.1021/ci600469w

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  4 in total

Review 1.  Carbonic anhydrase as a model for biophysical and physical-organic studies of proteins and protein-ligand binding.

Authors:  Vijay M Krishnamurthy; George K Kaufman; Adam R Urbach; Irina Gitlin; Katherine L Gudiksen; Douglas B Weibel; George M Whitesides
Journal:  Chem Rev       Date:  2008-03       Impact factor: 60.622

2.  Prediction of activity and selectivity profiles of human Carbonic Anhydrase inhibitors using machine learning classification models.

Authors:  Annachiara Tinivella; Luca Pinzi; Giulio Rastelli
Journal:  J Cheminform       Date:  2021-03-06       Impact factor: 5.514

3.  Target-based drug discovery through inversion of quantitative structure-drug-property relationships and molecular simulation: CA IX-sulphonamide complexes.

Authors:  Petar Žuvela; J Jay Liu; Myunggi Yi; Paweł P Pomastowski; Gulyaim Sagandykova; Mariusz Belka; Jonathan David; Tomasz Bączek; Krzysztof Szafrański; Beata Żołnowska; Jarosław Sławiński; Claudiu T Supuran; Ming Wah Wong; Bogusław Buszewski
Journal:  J Enzyme Inhib Med Chem       Date:  2018-12       Impact factor: 5.051

4.  Development of a Fingerprint-Based Scoring Function for the Prediction of the Binding Mode of Carbonic Anhydrase II Inhibitors.

Authors:  Giulio Poli; Vibhu Jha; Adriano Martinelli; Claudiu T Supuran; Tiziano Tuccinardi
Journal:  Int J Mol Sci       Date:  2018-06-23       Impact factor: 5.923

  4 in total

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