Literature DB >> 24980786

CANDO and the infinite drug discovery frontier.

Mark Minie1, Gaurav Chopra2, Geetika Sethi3, Jeremy Horst4, George White3, Ambrish Roy5, Kaushik Hatti6, Ram Samudrala7.   

Abstract

The Computational Analysis of Novel Drug Opportunities (CANDO) platform (http://protinfo.org/cando) uses similarity of compound-proteome interaction signatures to infer homology of compound/drug behavior. We constructed interaction signatures for 3733 human ingestible compounds covering 48,278 protein structures mapping to 2030 indications based on basic science methodologies to predict and analyze protein structure, function, and interactions developed by us and others. Our signature comparison and ranking approach yielded benchmarking accuracies of 12-25% for 1439 indications with at least two approved compounds. We prospectively validated 49/82 'high value' predictions from nine studies covering seven indications, with comparable or better activity to existing drugs, which serve as novel repurposed therapeutics. Our approach may be generalized to compounds beyond those approved by the FDA, and can also consider mutations in protein structures to enable personalization. Our platform provides a holistic multiscale modeling framework of complex atomic, molecular, and physiological systems with broader applications in medicine and engineering.
Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.

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Year:  2014        PMID: 24980786      PMCID: PMC4167471          DOI: 10.1016/j.drudis.2014.06.018

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


  75 in total

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Review 2.  High-throughput methods for combinatorial drug discovery.

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Review 5.  Organ-on-a-chip technology and microfluidic whole-body models for pharmacokinetic drug toxicity screening.

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Review 6.  Methods of biological network inference for reverse engineering cancer chemoresistance mechanisms.

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Journal:  Drug Discov Today       Date:  2013-11-05       Impact factor: 7.851

Review 7.  Pragmatic approaches to therapy for systemic lupus erythematosus.

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Review 9.  BioMOL: a computer-assisted biological modeling tool for complex chemical mixtures and biological processes at the molecular level.

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Journal:  Environ Health Perspect       Date:  2002-12       Impact factor: 9.031

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  22 in total

1.  Multiscale modelling of relationships between protein classes and drug behavior across all diseases using the CANDO platform.

Authors:  Geetika Sethi; Gaurav Chopra; Ram Samudrala
Journal:  Mini Rev Med Chem       Date:  2015       Impact factor: 3.862

2.  Multiscale Virtual Screening Optimization for Shotgun Drug Repurposing Using the CANDO Platform.

Authors:  Matthew L Hudson; Ram Samudrala
Journal:  Molecules       Date:  2021-04-28       Impact factor: 4.411

Review 3.  Data access for the 1,000 Plants (1KP) project.

Authors:  Naim Matasci; Ling-Hong Hung; Zhixiang Yan; Eric J Carpenter; Norman J Wickett; Siavash Mirarab; Nam Nguyen; Tandy Warnow; Saravanaraj Ayyampalayam; Michael Barker; J Gordon Burleigh; Matthew A Gitzendanner; Eric Wafula; Joshua P Der; Claude W dePamphilis; Béatrice Roure; Hervé Philippe; Brad R Ruhfel; Nicholas W Miles; Sean W Graham; Sarah Mathews; Barbara Surek; Michael Melkonian; Douglas E Soltis; Pamela S Soltis; Carl Rothfels; Lisa Pokorny; Jonathan A Shaw; Lisa DeGironimo; Dennis W Stevenson; Juan Carlos Villarreal; Tao Chen; Toni M Kutchan; Megan Rolf; Regina S Baucom; Michael K Deyholos; Ram Samudrala; Zhijian Tian; Xiaolei Wu; Xiao Sun; Yong Zhang; Jun Wang; Jim Leebens-Mack; Gane Ka-Shu Wong
Journal:  Gigascience       Date:  2014-10-27       Impact factor: 6.524

4.  Ligand-target prediction by structural network biology using nAnnoLyze.

Authors:  Francisco Martínez-Jiménez; Marc A Marti-Renom
Journal:  PLoS Comput Biol       Date:  2015-03-27       Impact factor: 4.475

5.  Detecting similar binding pockets to enable systems polypharmacology.

Authors:  Miquel Duran-Frigola; Lydia Siragusa; Eytan Ruppin; Xavier Barril; Gabriele Cruciani; Patrick Aloy
Journal:  PLoS Comput Biol       Date:  2017-06-29       Impact factor: 4.475

6.  Combating Ebola with Repurposed Therapeutics Using the CANDO Platform.

Authors:  Gaurav Chopra; Sashank Kaushik; Peter L Elkin; Ram Samudrala
Journal:  Molecules       Date:  2016-11-25       Impact factor: 4.411

7.  Inhibition of 12/15-Lipoxygenase Protects Against β-Cell Oxidative Stress and Glycemic Deterioration in Mouse Models of Type 1 Diabetes.

Authors:  Marimar Hernandez-Perez; Gaurav Chopra; Jonathan Fine; Abass M Conteh; Ryan M Anderson; Amelia K Linnemann; Chanelle Benjamin; Jennifer B Nelson; Kara S Benninger; Jerry L Nadler; David J Maloney; Sarah A Tersey; Raghavendra G Mirmira
Journal:  Diabetes       Date:  2017-08-25       Impact factor: 9.461

8.  Shotgun drug repurposing biotechnology to tackle epidemics and pandemics.

Authors:  William Mangione; Zackary Falls; Thomas Melendy; Gaurav Chopra; Ram Samudrala
Journal:  Drug Discov Today       Date:  2020-05-13       Impact factor: 7.851

9.  Teriflunomide restores 5-azacytidine sensitivity via activation of pyrimidine salvage in 5-azacytidine-resistant leukemia cells.

Authors:  Satoshi Imanishi; Ryoko Takahashi; Seiichiro Katagiri; Chiaki Kobayashi; Tomohiro Umezu; Kazuma Ohyashiki; Junko H Ohyashiki
Journal:  Oncotarget       Date:  2017-07-22

10.  Shotgun drug repurposing biotechnology to tackle epidemics and pandemics.

Authors:  William Mangione; Zackary Falls; Thomas Melendy; Gaurav Chopra; Ram Samudrala
Journal:  ChemRxiv       Date:  2020-05-04
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