Literature DB >> 26358802

Computational Chemistry in the Pharmaceutical Industry: From Childhood to Adolescence.

Alexander Hillisch1, Nikolaus Heinrich2, Hanno Wild3.   

Abstract

Computational chemistry within the pharmaceutical industry has grown into a field that proactively contributes to many aspects of drug design, including target selection and lead identification and optimization. While methodological advancements have been key to this development, organizational developments have been crucial to our success as well. In particular, the interaction between computational and medicinal chemistry and the integration of computational chemistry into the entire drug discovery process have been invaluable. Over the past ten years we have shaped and developed a highly efficient computational chemistry group for small-molecule drug discovery at Bayer HealthCare that has significantly impacted the clinical development pipeline. In this article we describe the setup and tasks of the computational group and discuss external collaborations. We explain what we have found to be the most valuable and productive methods and discuss future directions for computational chemistry method development. We share this information with the hope of igniting interesting discussions around this topic.
© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  computational chemistry; de novo design; drug discovery; in silico ADMET; organizational aspects; pharmaceutical industry; structure-based design; virtual screening

Mesh:

Substances:

Year:  2015        PMID: 26358802     DOI: 10.1002/cmdc.201500346

Source DB:  PubMed          Journal:  ChemMedChem        ISSN: 1860-7179            Impact factor:   3.466


  9 in total

1.  Computer-aided drug design at Boehringer Ingelheim.

Authors:  Ingo Muegge; Andreas Bergner; Jan M Kriegl
Journal:  J Comput Aided Mol Des       Date:  2016-09-20       Impact factor: 3.686

2.  In silico toxicology protocols.

Authors:  Glenn J Myatt; Ernst Ahlberg; Yumi Akahori; David Allen; Alexander Amberg; Lennart T Anger; Aynur Aptula; Scott Auerbach; Lisa Beilke; Phillip Bellion; Romualdo Benigni; Joel Bercu; Ewan D Booth; Dave Bower; Alessandro Brigo; Natalie Burden; Zoryana Cammerer; Mark T D Cronin; Kevin P Cross; Laura Custer; Magdalena Dettwiler; Krista Dobo; Kevin A Ford; Marie C Fortin; Samantha E Gad-McDonald; Nichola Gellatly; Véronique Gervais; Kyle P Glover; Susanne Glowienke; Jacky Van Gompel; Steve Gutsell; Barry Hardy; James S Harvey; Jedd Hillegass; Masamitsu Honma; Jui-Hua Hsieh; Chia-Wen Hsu; Kathy Hughes; Candice Johnson; Robert Jolly; David Jones; Ray Kemper; Michelle O Kenyon; Marlene T Kim; Naomi L Kruhlak; Sunil A Kulkarni; Klaus Kümmerer; Penny Leavitt; Bernhard Majer; Scott Masten; Scott Miller; Janet Moser; Moiz Mumtaz; Wolfgang Muster; Louise Neilson; Tudor I Oprea; Grace Patlewicz; Alexandre Paulino; Elena Lo Piparo; Mark Powley; Donald P Quigley; M Vijayaraj Reddy; Andrea-Nicole Richarz; Patricia Ruiz; Benoit Schilter; Rositsa Serafimova; Wendy Simpson; Lidiya Stavitskaya; Reinhard Stidl; Diana Suarez-Rodriguez; David T Szabo; Andrew Teasdale; Alejandra Trejo-Martin; Jean-Pierre Valentin; Anna Vuorinen; Brian A Wall; Pete Watts; Angela T White; Joerg Wichard; Kristine L Witt; Adam Woolley; David Woolley; Craig Zwickl; Catrin Hasselgren
Journal:  Regul Toxicol Pharmacol       Date:  2018-04-17       Impact factor: 3.271

Review 3.  Early Career Perspectives from Large Pharma, Software, and Start-up Companies.

Authors:  Fiorella Ruggiu; Caitlin Bannan; Andrea Bootsma
Journal:  J Chem Inf Model       Date:  2022-05-19       Impact factor: 6.162

4.  Development and validation of a physiology-based model for the prediction of pharmacokinetics/toxicokinetics in rabbits.

Authors:  Panteleimon D Mavroudis; Helen E Hermes; Donato Teutonico; Thomas G Preuss; Sebastian Schneckener
Journal:  PLoS One       Date:  2018-03-21       Impact factor: 3.240

Review 5.  Deep Learning in Drug Discovery and Medicine; Scratching the Surface.

Authors:  Dibyendu Dana; Satishkumar V Gadhiya; Luce G St Surin; David Li; Farha Naaz; Quaisar Ali; Latha Paka; Michael A Yamin; Mahesh Narayan; Itzhak D Goldberg; Prakash Narayan
Journal:  Molecules       Date:  2018-09-18       Impact factor: 4.411

6.  Automated partial atomic charge assignment for drug-like molecules: a fast knapsack approach.

Authors:  Martin S Engler; Bertrand Caron; Lourens Veen; Daan P Geerke; Alan E Mark; Gunnar W Klau
Journal:  Algorithms Mol Biol       Date:  2019-02-05       Impact factor: 1.405

Review 7.  Synthetic and computational efforts towards the development of peptidomimetics and small-molecule SARS-CoV 3CLpro inhibitors.

Authors:  Abhik Paul; Arnab Sarkar; Sanjukta Saha; Avik Maji; Pritha Janah; Tapan Kumar Maity
Journal:  Bioorg Med Chem       Date:  2021-07-03       Impact factor: 3.641

8.  Computer-Aided Estimation of Biological Activity Profiles of Drug-Like Compounds Taking into Account Their Metabolism in Human Body.

Authors:  Dmitry A Filimonov; Anastassia V Rudik; Alexander V Dmitriev; Vladimir V Poroikov
Journal:  Int J Mol Sci       Date:  2020-10-11       Impact factor: 5.923

9.  Mapping the intellectual structure of the coronavirus field (2000-2020): a co-word analysis.

Authors:  Aliakbar Pourhatami; Mohammad Kaviyani-Charati; Bahareh Kargar; Hamed Baziyad; Maryam Kargar; Carlos Olmeda-Gómez
Journal:  Scientometrics       Date:  2021-06-15       Impact factor: 3.238

  9 in total

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