Literature DB >> 24350718

Balancing novelty with confined chemical space in modern drug discovery.

José L Medina-Franco1, Karina Martinez-Mayorga, Nathalie Meurice.   

Abstract

INTRODUCTION: The concept of chemical space has broad applications in drug discovery. In response to the needs of drug discovery campaigns, different approaches are followed to efficiently populate, mine and select relevant chemical spaces that overlap with biologically relevant chemical spaces. AREAS COVERED: This paper reviews major trends in current drug discovery and their impact on the mining and population of chemical space. We also survey different approaches to develop screening libraries with confined chemical spaces balancing physicochemical properties. In this context, the confinement is guided by criteria that can be divided in two broad categories: i) library design focused on a relevant therapeutic target or disease and ii) library design focused on the chemistry or a desired molecular function. EXPERT OPINION: The design and development of chemical libraries should be associated with the specific purpose of the library and the project goals. The high complexity of drug discovery and the inherent imperfection of individual experimental and computational technologies prompt the integration of complementary library design and screening approaches to expedite the identification of new and better drugs. Library design approaches including diversity-oriented synthesis, biological-oriented synthesis or combinatorial library design, to name a few, and the design of focused libraries driven by target/disease, chemical structure or molecular function are more efficient if they are guided by multi-parameter optimization. In this context, consideration of pharmaceutically relevant properties is essential for balancing novelty with chemical space in drug discovery.

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Year:  2013        PMID: 24350718     DOI: 10.1517/17460441.2014.872624

Source DB:  PubMed          Journal:  Expert Opin Drug Discov        ISSN: 1746-0441            Impact factor:   6.098


  10 in total

1.  Chemoinformatic expedition of the chemical space of fungal products.

Authors:  Mariana González-Medina; Fernando D Prieto-Martínez; J Jesús Naveja; Oscar Méndez-Lucio; Tamam El-Elimat; Cedric J Pearce; Nicholas H Oberlies; Mario Figueroa; José L Medina-Franco
Journal:  Future Med Chem       Date:  2016-08-03       Impact factor: 3.808

2.  Chemoinformatics: a perspective from an academic setting in Latin America.

Authors:  J Jesús Naveja; C Iluhí Oviedo-Osornio; Nicole N Trujillo-Minero; José L Medina-Franco
Journal:  Mol Divers       Date:  2017-12-04       Impact factor: 2.943

3.  Exploring the chemical space of peptides for drug discovery: a focus on linear and cyclic penta-peptides.

Authors:  Bárbara I Díaz-Eufracio; Oscar Palomino-Hernández; Richard A Houghten; José L Medina-Franco
Journal:  Mol Divers       Date:  2018-02-14       Impact factor: 2.943

4.  Molpher: a software framework for systematic chemical space exploration.

Authors:  David Hoksza; Petr Skoda; Milan Voršilák; Daniel Svozil
Journal:  J Cheminform       Date:  2014-03-21       Impact factor: 5.514

5.  Lost in chemical space? Maps to support organometallic catalysis.

Authors:  Natalie Fey
Journal:  Chem Cent J       Date:  2015-06-18       Impact factor: 4.215

6.  Consensus Diversity Plots: a global diversity analysis of chemical libraries.

Authors:  Mariana González-Medina; Fernando D Prieto-Martínez; John R Owen; José L Medina-Franco
Journal:  J Cheminform       Date:  2016-11-10       Impact factor: 5.514

7.  Pushing the Ligand Efficiency Metrics: Relative Group Contribution (RGC) Model as a Helpful Strategy to Promote a Fragment "Rescue" Effect.

Authors:  Andrés Felipe Vásquez; Andrés González Barrios
Journal:  Front Chem       Date:  2019-08-16       Impact factor: 5.221

8.  Design and Selection of Novel C1s Inhibitors by In Silico and In Vitro Approaches.

Authors:  Katalin Szilágyi; István Hajdú; Beáta Flachner; Zsolt Lőrincz; Júlia Balczer; Péter Gál; Péter Závodszky; Chiara Pirli; Balázs Balogh; István M Mándity; Sándor Cseh; György Dormán
Journal:  Molecules       Date:  2019-10-09       Impact factor: 4.411

9.  SYBA: Bayesian estimation of synthetic accessibility of organic compounds.

Authors:  Milan Voršilák; Michal Kolář; Ivan Čmelo; Daniel Svozil
Journal:  J Cheminform       Date:  2020-05-20       Impact factor: 5.514

10.  Prediction of Compound Synthesis Accessibility Based on Reaction Knowledge Graph.

Authors:  Baiqing Li; Hongming Chen
Journal:  Molecules       Date:  2022-02-03       Impact factor: 4.411

  10 in total

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