Literature DB >> 12789688

Recent advances in de novo design strategy for practical lead identification.

Teruki Honma1.   

Abstract

De novo design programs such as LEGEND, LUDI, and LeapFrog can identify novel structures that are predicted to fit the active site of a target protein. However, in the conventional de novo design strategy, the output structures obtained from the programs can be problematic with regard to synthetic accessibility and binding affinity prediction. Thus it has been practically difficult to obtain novel lead compounds that are appropriate for medicinal chemists through the de novo design strategy. Since the late 1990s, several new strategies for lead identification have been reported and the successful examples have been disclosed. One of the strategies is validation of small fragments, which can be substructures of de novo ligands, by using NMR, X-ray, or MS spectra. Another method is prioritization of output structures obtained from de novo design programs by chemical accessibility. This review describes these new strategies with practical applications and future perspectives of de novo design. Copyright 2003 Wiley Periodicals, Inc.

Mesh:

Substances:

Year:  2003        PMID: 12789688     DOI: 10.1002/med.10046

Source DB:  PubMed          Journal:  Med Res Rev        ISSN: 0198-6325            Impact factor:   12.944


  10 in total

1.  Accessible haptic technology for drug design applications.

Authors:  Nicola Zonta; Ian J Grimstead; Nick J Avis; Andrea Brancale
Journal:  J Mol Model       Date:  2008-12-02       Impact factor: 1.810

2.  PeptiSite: a structural database of peptide binding sites in 4D.

Authors:  Chayan Acharya; Irina Kufareva; Andrey V Ilatovskiy; Ruben Abagyan
Journal:  Biochem Biophys Res Commun       Date:  2014-01-06       Impact factor: 3.575

3.  "De novo" design of peptides with specific lipid-binding properties.

Authors:  L Lins; B Charloteaux; C Heinen; A Thomas; R Brasseur
Journal:  Biophys J       Date:  2005-11-04       Impact factor: 4.033

4.  Identification of an Indazole-Based Pharmacophore for the Inhibition of FGFR Kinases Using Fragment-Led de Novo Design.

Authors:  Lewis D Turner; Abbey J Summers; Laura O Johnson; Margaret A Knowles; Colin W G Fishwick
Journal:  ACS Med Chem Lett       Date:  2017-11-11       Impact factor: 4.345

5.  e-LEA3D: a computational-aided drug design web server.

Authors:  Dominique Douguet
Journal:  Nucleic Acids Res       Date:  2010-05-05       Impact factor: 16.971

6.  Minimal pharmacophoric elements and fragment hopping, an approach directed at molecular diversity and isozyme selectivity. Design of selective neuronal nitric oxide synthase inhibitors.

Authors:  Haitao Ji; Benjamin Z Stanton; Jotaro Igarashi; Huiying Li; Pavel Martásek; Linda J Roman; Thomas L Poulos; Richard B Silverman
Journal:  J Am Chem Soc       Date:  2008-03-06       Impact factor: 15.419

7.  Combined docking, molecular dynamics simulations and spectroscopic studies for the rational design of a dipeptide ligand for affinity chromatography separation of human serum albumin.

Authors:  Elham Aghaee; Jahan B Ghasemi; Firouzeh Manouchehri; Saeed Balalaie
Journal:  J Mol Model       Date:  2014-09-16       Impact factor: 1.810

Review 8.  Mathematical and computational modeling in biology at multiple scales.

Authors:  Jack A Tuszynski; Philip Winter; Diana White; Chih-Yuan Tseng; Kamlesh K Sahu; Francesco Gentile; Ivana Spasevska; Sara Ibrahim Omar; Niloofar Nayebi; Cassandra Dm Churchill; Mariusz Klobukowski; Rabab M Abou El-Magd
Journal:  Theor Biol Med Model       Date:  2014-12-27       Impact factor: 2.432

9.  bSiteFinder, an improved protein-binding sites prediction server based on structural alignment: more accurate and less time-consuming.

Authors:  Jun Gao; Qingchen Zhang; Min Liu; Lixin Zhu; Dingfeng Wu; Zhiwei Cao; Ruixin Zhu
Journal:  J Cheminform       Date:  2016-07-11       Impact factor: 5.514

10.  New technologies in computer-aided drug design: Toward target identification and new chemical entity discovery.

Authors:  Yun Tang; Weiliang Zhu; Kaixian Chen; Hualiang Jiang
Journal:  Drug Discov Today Technol       Date:  2006
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.