Inverse Virtual Screening in Drug Repositioning: Detailed Investigation and Case Studies

Inverse virtual screening is a useful tool for drug repositioning or repurposing. The utility of this tool lies in the identification of potential targets for small-molecule ligands. With reference to drug repositioning , approved/existing small-molecule drugs can be processed by inverse virtual screening for the discovery of potential new molecular targets for such drugs. Both the ligand- and structure-based approaches can be used for the in silico screening. PharmMapper is a web-based tool for ligand-based inverse screening that employs pharmacophore mapping approach and identifies potential target candidates for small molecules. The present study demonstrates the usefulness of this approach for computational repositioning of approved/existing drugs. Here, query molecules belonging to protein kinase inhibitors, monoamine transporter inhibitors and G protein-coupled receptor antagonists were used. The results revealed potential novel molecular targets for the query molecules. Detailed literature search involving the query molecule-novel target pair led to interesting findings. The book chapter summarizes the interesting outcomes of the ligand-based inverse virtual screening.

[1]  Michael Schroeder,et al.  Old friends in new guise: repositioning of known drugs with structural bioinformatics , 2011, Briefings Bioinform..

[2]  Jianghong An,et al.  A large-scale computational approach to drug repositioning. , 2006, Genome informatics. International Conference on Genome Informatics.

[3]  Shao-Jun Chen,et al.  A potential target of Tanshinone IIA for acute promyelocytic leukemia revealed by inverse docking and drug repurposing. , 2014, Asian Pacific journal of cancer prevention : APJCP.

[4]  T. N. Bhat,et al.  The Protein Data Bank , 2000, Nucleic Acids Res..

[5]  R. Damoiseaux,et al.  Fluoxetine Is a Potent Inhibitor of Coxsackievirus Replication , 2012, Antimicrobial Agents and Chemotherapy.

[6]  C. Bai,et al.  Fluoxetine a novel anti-hepatitis C virus agent via ROS-, JNK-, and PPARβ/γ-dependent pathways. , 2014, Antiviral research.

[7]  Marvin B. Brooks Erlotinib and gefitinib, small-molecule EGFR inhibitors. New uses for old drugs?: , 2012 .

[8]  Sona Warrier,et al.  Reverse docking: a powerful tool for drug repositioning and drug rescue. , 2014, Future medicinal chemistry.

[9]  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.

[10]  S. Sleigh,et al.  Repurposing Strategies for Therapeutics , 2010, Pharmaceutical Medicine.

[11]  E. Tobinick The value of drug repositioning in the current pharmaceutical market. , 2009, Drug news & perspectives.

[12]  Xin Wen,et al.  BindingDB: a web-accessible database of experimentally determined protein–ligand binding affinities , 2006, Nucleic Acids Res..

[13]  Xiaomin Luo,et al.  PDTD: a web-accessible protein database for drug target identification , 2008, BMC Bioinformatics.

[14]  Biplab Bhattacharjee,et al.  Identification of proapoptopic, anti-inflammatory, anti- proliferative, anti-invasive and anti-angiogenic targets of essential oils in cardamom by dual reverse virtual screening and binding pose analysis. , 2013, Asian Pacific journal of cancer prevention : APJCP.

[15]  Shao-Jun Chen,et al.  Identification of a potential anticancer target of danshensu by inverse docking. , 2014, Asian Pacific journal of cancer prevention : APJCP.

[16]  T. Ashburn,et al.  Drug repositioning: identifying and developing new uses for existing drugs , 2004, Nature Reviews Drug Discovery.

[17]  L. Meijer,et al.  Inverse in silico screening for identification of kinase inhibitor targets. , 2007, Chemistry & biology.

[18]  B. Padhy,et al.  Drug repositioning: re-investigating existing drugs for new therapeutic indications. , 2011, Journal of postgraduate medicine.

[19]  J. Wilson,et al.  Alterations in processes and priorities needed for new drug development. , 2006, Annals of internal medicine.

[20]  Bryan L. Roth,et al.  Finding New Tricks For Old Drugs: An Efficient Route For Public-Sector Drug Discovery , 2005, Nature Reviews Drug Discovery.

[21]  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.

[22]  David S. Wishart,et al.  DrugBank: a knowledgebase for drugs, drug actions and drug targets , 2007, Nucleic Acids Res..

[23]  R. Silverman,et al.  Suppression of antiviral innate immunity by sunitinib enhances oncolytic virotherapy. , 2013, Molecular therapy : the journal of the American Society of Gene Therapy.

[24]  Kai Huang,et al.  PharmMapper server: a web server for potential drug target identification using pharmacophore mapping approach , 2010, Nucleic Acids Res..

[25]  Biplab Bhattacharjee,et al.  Comparative reverse screening approach to identify potential anti-neoplastic targets of saffron functional components and binding mode. , 2012, Asian Pacific journal of cancer prevention : APJCP.

[26]  Matthew P. Repasky,et al.  Extra precision glide: docking and scoring incorporating a model of hydrophobic enclosure for protein-ligand complexes. , 2006, Journal of medicinal chemistry.

[27]  P. Sanseau,et al.  Computational Drug Repositioning: From Data to Therapeutics , 2013, Clinical pharmacology and therapeutics.

[28]  S. Kimura,et al.  Antitumor effect of sunitinib against skeletal metastatic renal cell carcinoma through inhibition of osteoclast function , 2012, International journal of cancer.