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


ABSTRACT: In this work, a target-based drug screening method is proposed exploiting the synergy effect of ligand-based and structure-based computer-assisted drug design. The new method provides great flexibility in drug design and drug candidates with considerably lower risk in an efficient manner. As a model system, 45 sulphonamides (33 training, 12 testing ligands) in complex with carbonic anhydrase IX were used for development of quantitative structure-activity-lipophilicity (property)-relationships (QSPRs). For each ligand, nearly 5,000 molecular descriptors were calculated, while lipophilicity (logkw) and inhibitory activity (logKi) were used as drug properties. Genetic algorithm-partial least squares (GA-PLS) provided a QSPR model with high prediction capability employing only seven molecular descriptors. As a proof-of-concept, optimal drug structure was obtained by inverting the model with respect to reference drug properties. 3509 ligands were ranked accordingly. Top 10 ligands were further validated through molecular docking. Large-scale MD simulations were performed to test the stability of structures of selected ligands obtained through docking complemented with biophysical experiments.

SUBMITTER: Zuvela P 

PROVIDER: S-EPMC6151961 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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

Žuvela Petar P   Liu J Jay JJ   Yi Myunggi M   Pomastowski Paweł P PP   Sagandykova Gulyaim G   Belka Mariusz M   David Jonathan J   Bączek Tomasz T   Szafrański Krzysztof K   Żołnowska Beata B   Sławiński Jarosław J   Supuran Claudiu T CT   Wong Ming Wah MW   Buszewski Bogusław B  

Journal of enzyme inhibition and medicinal chemistry 20181201 1


In this work, a target-based drug screening method is proposed exploiting the synergy effect of ligand-based and structure-based computer-assisted drug design. The new method provides great flexibility in drug design and drug candidates with considerably lower risk in an efficient manner. As a model system, 45 sulphonamides (33 training, 12 testing ligands) in complex with carbonic anhydrase IX were used for development of quantitative structure-activity-lipophilicity (property)-relationships (Q  ...[more]

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