Literature DB >> 22352914

Freely accessible databases of commercial compounds for high- throughput virtual screenings.

Arménio Jorge Moura Barbosa1, Alberto Del Rio.   

Abstract

In the last decades computer-aided drug design techniques have been successfully used to guide the selection of new hit compounds with biological activity. These methods, that include a broad range of chemoinformatic and computational chemistry algorithms, are still disciplines in full bloom. In particular, virtual screening procedures have celebrated a great popularity for the rapid and cost-effective assessment of large chemical libraries of commercial compounds. While the usage of in silico techniques promises an effective speed-up at the early-stage of the development of new active compounds, computational projects starting from scratch with raw chemical data are often associated with resource- and time-consuming preparation protocols, almost blunting the advantages of using these techniques. In order to help facing these difficulties, in the last years several chemoinformatic projects and tools have emerged in literature and have been useful in preparing curated databases of chemical compounds for high-throughput virtual screening purposes. The review will focus on the detailed analysis of free databases of commercial chemical compounds that are currently employed in virtual screening campaigns for drug design. The scope of this review is to compare such databases and suggest the reader on how and in which conditions the usage of these databases could be recommended.

Mesh:

Substances:

Year:  2012        PMID: 22352914     DOI: 10.2174/156802612800166710

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  12 in total

1.  Discovery of new FXR agonists based on 6-ECDCA binding properties by virtual screening and molecular docking.

Authors:  Antonella Giancristofaro; Arménio J M Barbosa; Alessandra Ammazzalorso; Pasquale Amoia; Barbara De Filippis; Marialuigia Fantacuzzi; Letizia Giampietro; Cristina Maccallini; Rosa Amoroso
Journal:  Medchemcomm       Date:  2018-07-04       Impact factor: 3.597

Review 2.  Shifting from the single to the multitarget paradigm in drug discovery.

Authors:  José L Medina-Franco; Marc A Giulianotti; Gregory S Welmaker; Richard A Houghten
Journal:  Drug Discov Today       Date:  2013-01-20       Impact factor: 7.851

3.  Benchmarking methods and data sets for ligand enrichment assessment in virtual screening.

Authors:  Jie Xia; Ermias Lemma Tilahun; Terry-Elinor Reid; Liangren Zhang; Xiang Simon Wang
Journal:  Methods       Date:  2014-12-03       Impact factor: 3.608

4.  Integrating virtual and biochemical screening for protein tyrosine phosphatase inhibitor discovery.

Authors:  Katie R Martin; Pooja Narang; José L Medina-Franco; Nathalie Meurice; Jeffrey P MacKeigan
Journal:  Methods       Date:  2013-08-20       Impact factor: 3.608

5.  Metformin impairs glucose consumption and survival in Calu-1 cells by direct inhibition of hexokinase-II.

Authors:  Barbara Salani; Cecilia Marini; Alberto Del Rio; Silvia Ravera; Michela Massollo; Anna Maria Orengo; Adriana Amaro; Mario Passalacqua; Sara Maffioli; Ulrich Pfeffer; Renzo Cordera; Davide Maggi; Gianmario Sambuceti
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

Review 6.  Rejuvenating sirtuins: the rise of a new family of cancer drug targets.

Authors:  Santina Bruzzone; Marco Daniele Parenti; Alessia Grozio; Alberto Ballestrero; Inga Bauer; Alberto Del Rio; Alessio Nencioni
Journal:  Curr Pharm Des       Date:  2013       Impact factor: 3.116

7.  Chemoinformatic analysis of GRAS (Generally Recognized as Safe) flavor chemicals and natural products.

Authors:  José L Medina-Franco; Karina Martínez-Mayorga; Terry L Peppard; Alberto Del Rio
Journal:  PLoS One       Date:  2012-11-30       Impact factor: 3.240

Review 8.  Modulation of epigenetic targets for anticancer therapy: clinicopathological relevance, structural data and drug discovery perspectives.

Authors:  Federico Andreoli; Arménio Jorge Moura Barbosa; Marco Daniele Parenti; Alberto Del Rio
Journal:  Curr Pharm Des       Date:  2013       Impact factor: 3.310

Review 9.  Computer-aided Molecular Design of Compounds Targeting Histone Modifying Enzymes.

Authors:  Federico Andreoli; Alberto Del Rio
Journal:  Comput Struct Biotechnol J       Date:  2015-05-07       Impact factor: 7.271

10.  Progress on open chemoinformatic tools for expanding and exploring the chemical space.

Authors:  José L Medina-Franco; Norberto Sánchez-Cruz; Edgar López-López; Bárbara I Díaz-Eufracio
Journal:  J Comput Aided Mol Des       Date:  2021-06-18       Impact factor: 4.179

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.