Literature DB >> 25816021

FOCUS--Development of a Global Communication and Modeling Platform for Applied and Computational Medicinal Chemists.

Nikolaus Stiefl1, Peter Gedeck2, Donovan Chin3, Peter Hunt4, Mika Lindvall5, Katrin Spiegel4, Clayton Springer3, Scott Biller3, Christoph Buenemann6, Takanori Kanazawa7, Mitsunori Kato3,7, Richard Lewis1, Eric Martin5, Valery Polyakov5, Ruben Tommasi3, John van Drie3, Brian Vash3, Lewis Whitehead3, Yongjin Xu5, Ruben Abagyan8, Eugene Raush8, Max Totrov8.   

Abstract

Communication of data and ideas within a medicinal chemistry project on a global as well as local level is a crucial aspect in the drug design cycle. Over a time frame of eight years, we built and optimized FOCUS, a platform to produce, visualize, and share information on various aspects of a drug discovery project such as cheminformatics, data analysis, structural information, and design. FOCUS is tightly integrated with internal services that involve-among others-data retrieval systems and in-silico models and provides easy access to automated modeling procedures such as pharmacophore searches, R-group analysis, and similarity searches. In addition, an interactive 3D editor was developed to assist users in the generation and docking of close analogues of a known lead. In this paper, we will specifically concentrate on issues we faced during development, deployment, and maintenance of the software and how we continually adapted the software in order to improve usability. We will provide usage examples to highlight the functionality as well as limitations of FOCUS at the various stages of the development process. We aim to make the discussion as independent of the software platform as possible, so that our experiences can be of more general value to the drug discovery community.

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Year:  2015        PMID: 25816021     DOI: 10.1021/ci500598e

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  5 in total

1.  Contemporary Computational Applications and Tools in Drug Discovery.

Authors:  Philip B Cox; Rishi Gupta
Journal:  ACS Med Chem Lett       Date:  2022-06-01       Impact factor: 4.632

2.  Understanding Flavin-Dependent Halogenase Reactivity via Substrate Activity Profiling.

Authors:  Mary C Andorfer; Jonathan E Grob; Christine E Hajdin; Julia R Chael; Piro Siuti; Jeremiah Lilly; Kian L Tan; Jared C Lewis
Journal:  ACS Catal       Date:  2017-01-31       Impact factor: 13.084

3.  Towards a structural understanding of allosteric drugs at the human calcium-sensing receptor.

Authors:  Katie Leach; Karen J Gregory; Irina Kufareva; Elham Khajehali; Anna E Cook; Ruben Abagyan; Arthur D Conigrave; Patrick M Sexton; Arthur Christopoulos
Journal:  Cell Res       Date:  2016-03-22       Impact factor: 25.617

Review 4.  Current status and future prospects for enabling chemistry technology in the drug discovery process.

Authors:  Stevan W Djuric; Charles W Hutchins; Nari N Talaty
Journal:  F1000Res       Date:  2016-09-30

5.  A novel allosteric modulator of the cannabinoid CB1 receptor ameliorates hyperdopaminergia endophenotypes in rodent models.

Authors:  Catharine A Mielnik; Kim S Sugamori; David B Finlay; Hayley H A Thorpe; Matthieu Schapira; Nirunthan Sivananthan; Chun Kit Li; Vincent M Lam; Sean Harrington; Mostafa H Abdelrahman; Laurent A Trembleau; W McIntyre Burnham; Jibran Y Khokhar; Ali Salahpour; Amy J Ramsey; Michelle Glass; Iain R Greig; Ruth A Ross
Journal:  Neuropsychopharmacology       Date:  2020-10-08       Impact factor: 7.853

  5 in total

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