Literature DB >> 11470602

Screening of drug candidates for their drug--drug interaction potential.

A D Rodrigues1, J H Lin.   

Abstract

Within the past year, additional papers have been published that focus on higher-throughput drug-interaction screening. Some papers have described enzyme assays that can be used to evaluate inhibition or induction of the human cytochrome P450s. At the same time, numerous investigators have developed computational (in silico) methods to predict interactions and have validated the approach using in vitro (assay-derived) data. These so called 'in silico--in vitro' correlations have great potential and may complement existing 'in vitro--in vivo' correlations.

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Year:  2001        PMID: 11470602     DOI: 10.1016/s1367-5931(00)00220-9

Source DB:  PubMed          Journal:  Curr Opin Chem Biol        ISSN: 1367-5931            Impact factor:   8.822


  5 in total

1.  G protein-coupled receptors: in silico drug discovery in 3D.

Authors:  Oren M Becker; Yael Marantz; Sharon Shacham; Boaz Inbal; Alexander Heifetz; Ori Kalid; Shay Bar-Haim; Dora Warshaviak; Merav Fichman; Silvia Noiman
Journal:  Proc Natl Acad Sci U S A       Date:  2004-07-26       Impact factor: 11.205

2.  Kinetic Modeling of Steady-State Situations in Cytochrome P450 Enzyme Reactions.

Authors:  F Peter Guengerich
Journal:  Drug Metab Dispos       Date:  2019-08-19       Impact factor: 3.922

3.  Quantitative structure-activity relationships (QSARs) within the cytochrome P450 system: QSARs describing substrate binding, inhibition and induction of P450s.

Authors:  David F V Lewis
Journal:  Inflammopharmacology       Date:  2003       Impact factor: 4.473

4.  Near-simultaneous intravital microscopy of glucose uptake and mitochondrial membrane potential, key endpoints that reflect major metabolic axes in cancer.

Authors:  Caigang Zhu; Amy F Martinez; Hannah L Martin; Martin Li; Brian T Crouch; David A Carlson; Timothy A J Haystead; Nimmi Ramanujam
Journal:  Sci Rep       Date:  2017-10-23       Impact factor: 4.379

5.  DDI-CPI, a server that predicts drug-drug interactions through implementing the chemical-protein interactome.

Authors:  Heng Luo; Ping Zhang; Hui Huang; Jialiang Huang; Emily Kao; Leming Shi; Lin He; Lun Yang
Journal:  Nucleic Acids Res       Date:  2014-05-29       Impact factor: 16.971

  5 in total

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