Potentially highly potent drugs for 2019-nCoV

The World Health Organization (WHO) has declared the 2019 novel coronavirus (2019-nCoV) infection outbreak a global health emergency. Currently, there is no effective anti-2019-nCoV medication. The sequence identity of the 3CL proteases of 2019-nCoV and SARS is 96%, which provides a sound foundation for structural-based drug repositioning (SBDR). Based on a SARS 3CL protease X-ray crystal structure, we construct a 3D homology structure of 2019-nCoV 3CL protease. Based on this structure and existing experimental datasets for SARS 3CL protease inhibitors, we develop an SBDR model based on machine learning and mathematics to screen 1465 drugs in the DrugBank that have been approved by the U.S. Food and Drug Administration (FDA). We found that many FDA approved drugs are potentially highly potent to 2019-nCoV.

[1]  Patrizio Frosini,et al.  Size theory as a topological tool for computer vision , 1999 .

[2]  Weiliang Zhu,et al.  Nelfinavir was predicted to be a potential inhibitor of 2019-nCov main protease by an integrative approach combining homology modelling, molecular docking and binding free energy calculation , 2020, bioRxiv.

[3]  Guo-Wei Wei,et al.  Representability of algebraic topology for biomolecules in machine learning based scoring and virtual screening , 2017, PLoS Comput. Biol..

[4]  Julie Dyall,et al.  Repurposing of Clinically Developed Drugs for Treatment of Middle East Respiratory Syndrome Coronavirus Infection , 2014, Antimicrobial Agents and Chemotherapy.

[5]  Sujay V. Kumar,et al.  A land data assimilation system for sub-Saharan Africa food and water security applications , 2017, Scientific Data.

[6]  Herbert Edelsbrunner,et al.  Topological persistence and simplification , 2000, Proceedings 41st Annual Symposium on Foundations of Computer Science.

[7]  Lisa E. Gralinski,et al.  Return of the Coronavirus: 2019-nCoV , 2020, Viruses.

[8]  Stephen T. C. Wong,et al.  Toward better drug repositioning: prioritizing and integrating existing methods into efficient pipelines. , 2014, Drug discovery today.

[9]  Fan Chung,et al.  Spectral Graph Theory , 1996 .

[10]  John P. Overington,et al.  ChEMBL: a large-scale bioactivity database for drug discovery , 2011, Nucleic Acids Res..

[11]  坂上 貴之 書評 Computational Homology , 2005 .

[12]  Zhiyong Lu,et al.  A survey of current trends in computational drug repositioning , 2016, Briefings Bioinform..

[13]  Guo-Wei Wei,et al.  AGL-Score: Algebraic Graph Learning Score for Protein-Ligand Binding Scoring, Ranking, Docking, and Screening , 2019, J. Chem. Inf. Model..

[14]  Chirag J Patel,et al.  A standard database for drug repositioning , 2017, Scientific Data.

[15]  Guo-Wei Wei,et al.  Mathematical deep learning for pose and binding affinity prediction and ranking in D3R Grand Challenges , 2018, Journal of Computer-Aided Molecular Design.

[16]  R A Knight,et al.  DRUGSURV: a resource for repositioning of approved and experimental drugs in oncology based on patient survival information , 2014, Cell Death and Disease.

[17]  C. Macintyre Wuhan novel coronavirus 2019nCoV – update January 27th 2020 , 2020 .

[18]  Yan Li,et al.  Comparative Assessment of Scoring Functions: The CASF-2016 Update , 2018, J. Chem. Inf. Model..

[19]  B. Beck,et al.  Predicting commercially available antiviral drugs that may act on the novel coronavirus (2019-nCoV), Wuhan, China through a drug-target interaction deep learning model , 2020, bioRxiv.

[20]  Leonidas J. Guibas,et al.  Persistence Barcodes for Shapes , 2005, Int. J. Shape Model..

[21]  Wu Zhong,et al.  Remdesivir and chloroquine effectively inhibit the recently emerged novel coronavirus (2019-nCoV) in vitro , 2020, Cell Research.

[22]  Guo-Wei Wei,et al.  DG‐GL: Differential geometry‐based geometric learning of molecular datasets , 2018, International journal for numerical methods in biomedical engineering.

[23]  Matthew P. Repasky,et al.  Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy. , 2004, Journal of medicinal chemistry.

[24]  David S. Wishart,et al.  DrugBank 5.0: a major update to the DrugBank database for 2018 , 2017, Nucleic Acids Res..

[25]  Ping Chen,et al.  Evolution of the novel coronavirus from the ongoing Wuhan outbreak and modeling of its spike protein for risk of human transmission , 2020, Science China Life Sciences.

[26]  Hege S. Beard,et al.  Glide: a new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening. , 2004, Journal of medicinal chemistry.

[27]  Kaifu Gao,et al.  MathDL: mathematical deep learning for D3R Grand Challenge 4 , 2019, Journal of Computer-Aided Molecular Design.

[28]  M. James,et al.  Crystal Structures of the Main Peptidase from the SARS Coronavirus Inhibited by a Substrate-like Aza-peptide Epoxide , 2005, Journal of Molecular Biology.

[29]  Kelin Xia,et al.  Persistent homology analysis of protein structure, flexibility, and folding , 2014, International journal for numerical methods in biomedical engineering.