Literature DB >> 1509259

Structure-based strategies for drug design and discovery.

I D Kuntz1.   

Abstract

Most drugs have been discovered in random screens or by exploiting information about macromolecular receptors. One source of this information is in the structures of critical proteins and nucleic acids. The structure-based approach to design couples this information with specialized computer programs to propose novel enzyme inhibitors and other therapeutic agents. Iterated design cycles have produced compounds now in clinical trials. The combination of molecular structure determination and computation is emerging as an important tool for drug development. These ideas will be applied to acquired immunodeficiency syndrome (AIDS) and bacterial drug resistance.

Entities:  

Mesh:

Substances:

Year:  1992        PMID: 1509259     DOI: 10.1126/science.257.5073.1078

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  161 in total

1.  Deciphering common failures in molecular docking of ligand-protein complexes.

Authors:  G M Verkhivker; D Bouzida; D K Gehlhaar; P A Rejto; S Arthurs; A B Colson; S T Freer; V Larson; B A Luty; T Marrone; P W Rose
Journal:  J Comput Aided Mol Des       Date:  2000-11       Impact factor: 3.686

2.  MCDOCK: a Monte Carlo simulation approach to the molecular docking problem.

Authors:  M Liu; S Wang
Journal:  J Comput Aided Mol Des       Date:  1999-09       Impact factor: 3.686

3.  Statistical relationships among docking scores for different protein binding sites.

Authors:  R T Koehler; H O Villar
Journal:  J Comput Aided Mol Des       Date:  2000-01       Impact factor: 3.686

4.  Receptor-based 3D QSAR analysis of estrogen receptor ligands--merging the accuracy of receptor-based alignments with the computational efficiency of ligand-based methods.

Authors:  W Sippl
Journal:  J Comput Aided Mol Des       Date:  2000-08       Impact factor: 3.686

5.  Evaluation of designed ligands by a multiple screening method: application to glycogen phosphorylase inhibitors constructed with a variety of approaches.

Authors:  S S So; M Karplus
Journal:  J Comput Aided Mol Des       Date:  2001-07       Impact factor: 3.686

6.  A comparative docking study and the design of potentially selective MMP inhibitors.

Authors:  S Hanessian; N Moitessier; E Therrien
Journal:  J Comput Aided Mol Des       Date:  2001-10       Impact factor: 3.686

Review 7.  Accurate and scalable identification of functional sites by evolutionary tracing.

Authors:  Olivier Lichtarge; Hui Yao; David M Kristensen; Srinivasan Madabushi; Ivana Mihalek
Journal:  J Struct Funct Genomics       Date:  2003

8.  Can we separate active from inactive conformations?

Authors:  David J Diller; Kenneth M Merz
Journal:  J Comput Aided Mol Des       Date:  2002-02       Impact factor: 3.686

9.  Further development and validation of empirical scoring functions for structure-based binding affinity prediction.

Authors:  Renxiao Wang; Luhua Lai; Shaomeng Wang
Journal:  J Comput Aided Mol Des       Date:  2002-01       Impact factor: 3.686

10.  A new method for estimating the importance of hydrogen-bonding groups in the binding site of a protein.

Authors:  Matthew D Kelly; Ricardo L Mancera
Journal:  J Comput Aided Mol Des       Date:  2003-07       Impact factor: 3.686

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.