Literature DB >> 30562586

An approach towards enhancement of a screening library: The Next Generation Library Initiative (NGLI) at Bayer - against all odds?

Markus Follmann1, Hans Briem2, Andreas Steinmeyer2, Alexander Hillisch3, Monika H Schmitt2, Helmut Haning3, Heinrich Meier3.   

Abstract

Pharmaceutical companies often refer to 'screening their library' when performing high-throughput screening (HTS) on a corporate compound collection to identify lead structures for small-molecule drug discovery programs. Characteristics of such a library, including the size, chemical space covered, and physicochemical properties, often determine the success of a screening campaign. Therefore, strategies to maintain and enhance the overall quality of screening collections are crucial to stay competitive and to cope with the 'novelty erosion' that is observed gradually. The Next Generation Library Initiative (NGLI), the enhancement of Bayer's HTS collection by 500000 newly designed compounds within 5 years, is addressing exactly this challenge. Here, we describe this collaborative project, which involves all internal medicinal chemists in a crowd-sourcing approach, as well as selected external partners, to reach this ambitious goal.
Copyright © 2018 Bayer AG. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 30562586     DOI: 10.1016/j.drudis.2018.12.003

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  12 in total

1.  Build-Couple-Transform: A Paradigm for Lead-like Library Synthesis with Scaffold Diversity.

Authors:  Mélanie Uguen; Gemma Davison; Lukas J Sprenger; James H Hunter; Mathew P Martin; Shannon Turberville; Jessica E Watt; Bernard T Golding; Martin E M Noble; Hannah L Stewart; Michael J Waring
Journal:  J Med Chem       Date:  2022-08-09       Impact factor: 8.039

2.  The Growing Importance of Chirality in 3D Chemical Space Exploration and Modern Drug Discovery Approaches for Hit-ID: Topical Innovations.

Authors:  Ilaria Proietti Silvestri; Paul J J Colbon
Journal:  ACS Med Chem Lett       Date:  2021-07-16       Impact factor: 4.632

Review 3.  Evolution of Artificial Intelligence-Powered Technologies in Biomedical Research and Healthcare.

Authors:  Ernesto Diaz-Flores; Tim Meyer; Alexis Giorkallos
Journal:  Adv Biochem Eng Biotechnol       Date:  2022       Impact factor: 2.768

Review 4.  Rethinking drug design in the artificial intelligence era.

Authors:  Petra Schneider; W Patrick Walters; Alleyn T Plowright; Norman Sieroka; Jennifer Listgarten; Robert A Goodnow; Jasmin Fisher; Johanna M Jansen; José S Duca; Thomas S Rush; Matthias Zentgraf; John Edward Hill; Elizabeth Krutoholow; Matthias Kohler; Jeff Blaney; Kimito Funatsu; Chris Luebkemann; Gisbert Schneider
Journal:  Nat Rev Drug Discov       Date:  2019-12-04       Impact factor: 84.694

Review 5.  Evaluating and evolving a screening library in academia: the St Jude approach.

Authors:  Gisele Nishiguchi; Sourav Das; Jason Ochoada; Heather Long; Richard E Lee; Zoran Rankovic; Anang A Shelat
Journal:  Drug Discov Today       Date:  2021-01-14       Impact factor: 7.851

6.  The Use of Informer Sets in Screening: Perspectives on an Efficient Strategy to Identify New Probes.

Authors:  Paul A Clemons; Joshua A Bittker; Florence F Wagner; Allison Hands; Vlado Dančík; Stuart L Schreiber; Amit Choudhary; Bridget K Wagner
Journal:  SLAS Discov       Date:  2021-06-16       Impact factor: 3.341

7.  Limonin as a Starting Point for the Construction of Compounds with High Scaffold Diversity.

Authors:  Lucia Furiassi; Emily J Tonogai; Paul J Hergenrother
Journal:  Angew Chem Int Ed Engl       Date:  2021-06-10       Impact factor: 16.823

8.  Novel phosphatidylinositol 4-kinases III beta (PI4KIIIβ) inhibitors discovered by virtual screening using free energy models.

Authors:  Natalie M Colodette; Lucas S Franco; Rodolfo C Maia; Harold H Fokoue; Carlos Mauricio R Sant'Anna; Eliezer J Barreiro
Journal:  J Comput Aided Mol Des       Date:  2020-06-30       Impact factor: 3.686

9.  Don't Overweight Weights: Evaluation of Weighting Strategies for Multi-Task Bioactivity Classification Models.

Authors:  Lina Humbeck; Tobias Morawietz; Noe Sturm; Adam Zalewski; Simon Harnqvist; Wouter Heyndrickx; Matthew Holmes; Bernd Beck
Journal:  Molecules       Date:  2021-11-18       Impact factor: 4.411

10.  Identification of Small Molecules that Modulate Mutant p53 Condensation.

Authors:  Clara Lemos; Luise Schulze; Joerg Weiske; Hanna Meyer; Nico Braeuer; Naomi Barak; Uwe Eberspächer; Nicolas Werbeck; Carlo Stresemann; Martin Lange; Ralf Lesche; Nina Zablowsky; Katrin Juenemann; Atanas Kamburov; Laura Martina Luh; Thomas Markus Leissing; Jeremie Mortier; Michael Steckel; Holger Steuber; Knut Eis; Ashley Eheim; Patrick Steigemann
Journal:  iScience       Date:  2020-09-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.