Crowd sourcing a new paradigm for interactome driven drug target identification in Mycobacterium tuberculosis.

A decade since the availability of Mycobacterium tuberculosis (Mtb) genome sequence, no promising drug has seen the light of the day. This not only indicates the challenges in discovering new drugs but also suggests a gap in our current understanding of Mtb biology. We attempt to bridge this gap by...

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Autores principales:	Rohit Vashisht, Anupam Kumar Mondal, Akanksha Jain, Anup Shah, Priti Vishnoi, Priyanka Priyadarshini, Kausik Bhattacharyya, Harsha Rohira, Ashwini G Bhat, Anurag Passi, Keya Mukherjee, Kumari Sonal Choudhary, Vikas Kumar, Anshula Arora, Prabhakaran Munusamy, Ahalyaa Subramanian, Aparna Venkatachalam, S Gayathri, Sweety Raj, Vijaya Chitra, Kaveri Verma, Salman Zaheer, J Balaganesh, Malarvizhi Gurusamy, Mohammed Razeeth, Ilamathi Raja, Madhumohan Thandapani, Vishal Mevada, Raviraj Soni, Shruti Rana, Girish Muthagadhalli Ramanna, Swetha Raghavan, Sunil N Subramanya, Trupti Kholia, Rajesh Patel, Varsha Bhavnani, Lakavath Chiranjeevi, Soumi Sengupta, Pankaj Kumar Singh, Naresh Atray, Swati Gandhi, Tiruvayipati Suma Avasthi, Shefin Nisthar, Meenakshi Anurag, Pratibha Sharma, Yasha Hasija, Debasis Dash, Arun Sharma, Vinod Scaria, Zakir Thomas, OSDD Consortium, Nagasuma Chandra, Samir K Brahmachari, Anshu Bhardwaj
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7f5e30f92a504d5a9a73abbdd29ca345
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spelling	oai:doaj.org-article:7f5e30f92a504d5a9a73abbdd29ca3452021-11-18T07:12:48ZCrowd sourcing a new paradigm for interactome driven drug target identification in Mycobacterium tuberculosis.1932-620310.1371/journal.pone.0039808https://doaj.org/article/7f5e30f92a504d5a9a73abbdd29ca3452012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22808064/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203A decade since the availability of Mycobacterium tuberculosis (Mtb) genome sequence, no promising drug has seen the light of the day. This not only indicates the challenges in discovering new drugs but also suggests a gap in our current understanding of Mtb biology. We attempt to bridge this gap by carrying out extensive re-annotation and constructing a systems level protein interaction map of Mtb with an objective of finding novel drug target candidates. Towards this, we synergized crowd sourcing and social networking methods through an initiative 'Connect to Decode' (C2D) to generate the first and largest manually curated interactome of Mtb termed 'interactome pathway' (IPW), encompassing a total of 1434 proteins connected through 2575 functional relationships. Interactions leading to gene regulation, signal transduction, metabolism, structural complex formation have been catalogued. In the process, we have functionally annotated 87% of the Mtb genome in context of gene products. We further combine IPW with STRING based network to report central proteins, which may be assessed as potential drug targets for development of drugs with least possible side effects. The fact that five of the 17 predicted drug targets are already experimentally validated either genetically or biochemically lends credence to our unique approach.Rohit VashishtAnupam Kumar MondalAkanksha JainAnup ShahPriti VishnoiPriyanka PriyadarshiniKausik BhattacharyyaHarsha RohiraAshwini G BhatAnurag PassiKeya MukherjeeKumari Sonal ChoudharyVikas KumarAnshula AroraPrabhakaran MunusamyAhalyaa SubramanianAparna VenkatachalamS GayathriSweety RajVijaya ChitraKaveri VermaSalman ZaheerJ BalaganeshMalarvizhi GurusamyMohammed RazeethIlamathi RajaMadhumohan ThandapaniVishal MevadaRaviraj SoniShruti RanaGirish Muthagadhalli RamannaSwetha RaghavanSunil N SubramanyaTrupti KholiaRajesh PatelVarsha BhavnaniLakavath ChiranjeeviSoumi SenguptaPankaj Kumar SinghNaresh AtraySwati GandhiTiruvayipati Suma AvasthiShefin NistharMeenakshi AnuragPratibha SharmaYasha HasijaDebasis DashArun SharmaVinod ScariaZakir ThomasOSDD ConsortiumNagasuma ChandraSamir K BrahmachariAnshu BhardwajPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 7, p e39808 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Rohit Vashisht Anupam Kumar Mondal Akanksha Jain Anup Shah Priti Vishnoi Priyanka Priyadarshini Kausik Bhattacharyya Harsha Rohira Ashwini G Bhat Anurag Passi Keya Mukherjee Kumari Sonal Choudhary Vikas Kumar Anshula Arora Prabhakaran Munusamy Ahalyaa Subramanian Aparna Venkatachalam S Gayathri Sweety Raj Vijaya Chitra Kaveri Verma Salman Zaheer J Balaganesh Malarvizhi Gurusamy Mohammed Razeeth Ilamathi Raja Madhumohan Thandapani Vishal Mevada Raviraj Soni Shruti Rana Girish Muthagadhalli Ramanna Swetha Raghavan Sunil N Subramanya Trupti Kholia Rajesh Patel Varsha Bhavnani Lakavath Chiranjeevi Soumi Sengupta Pankaj Kumar Singh Naresh Atray Swati Gandhi Tiruvayipati Suma Avasthi Shefin Nisthar Meenakshi Anurag Pratibha Sharma Yasha Hasija Debasis Dash Arun Sharma Vinod Scaria Zakir Thomas OSDD Consortium Nagasuma Chandra Samir K Brahmachari Anshu Bhardwaj Crowd sourcing a new paradigm for interactome driven drug target identification in Mycobacterium tuberculosis.
description	A decade since the availability of Mycobacterium tuberculosis (Mtb) genome sequence, no promising drug has seen the light of the day. This not only indicates the challenges in discovering new drugs but also suggests a gap in our current understanding of Mtb biology. We attempt to bridge this gap by carrying out extensive re-annotation and constructing a systems level protein interaction map of Mtb with an objective of finding novel drug target candidates. Towards this, we synergized crowd sourcing and social networking methods through an initiative 'Connect to Decode' (C2D) to generate the first and largest manually curated interactome of Mtb termed 'interactome pathway' (IPW), encompassing a total of 1434 proteins connected through 2575 functional relationships. Interactions leading to gene regulation, signal transduction, metabolism, structural complex formation have been catalogued. In the process, we have functionally annotated 87% of the Mtb genome in context of gene products. We further combine IPW with STRING based network to report central proteins, which may be assessed as potential drug targets for development of drugs with least possible side effects. The fact that five of the 17 predicted drug targets are already experimentally validated either genetically or biochemically lends credence to our unique approach.
format	article
author	Rohit Vashisht Anupam Kumar Mondal Akanksha Jain Anup Shah Priti Vishnoi Priyanka Priyadarshini Kausik Bhattacharyya Harsha Rohira Ashwini G Bhat Anurag Passi Keya Mukherjee Kumari Sonal Choudhary Vikas Kumar Anshula Arora Prabhakaran Munusamy Ahalyaa Subramanian Aparna Venkatachalam S Gayathri Sweety Raj Vijaya Chitra Kaveri Verma Salman Zaheer J Balaganesh Malarvizhi Gurusamy Mohammed Razeeth Ilamathi Raja Madhumohan Thandapani Vishal Mevada Raviraj Soni Shruti Rana Girish Muthagadhalli Ramanna Swetha Raghavan Sunil N Subramanya Trupti Kholia Rajesh Patel Varsha Bhavnani Lakavath Chiranjeevi Soumi Sengupta Pankaj Kumar Singh Naresh Atray Swati Gandhi Tiruvayipati Suma Avasthi Shefin Nisthar Meenakshi Anurag Pratibha Sharma Yasha Hasija Debasis Dash Arun Sharma Vinod Scaria Zakir Thomas OSDD Consortium Nagasuma Chandra Samir K Brahmachari Anshu Bhardwaj
author_facet	Rohit Vashisht Anupam Kumar Mondal Akanksha Jain Anup Shah Priti Vishnoi Priyanka Priyadarshini Kausik Bhattacharyya Harsha Rohira Ashwini G Bhat Anurag Passi Keya Mukherjee Kumari Sonal Choudhary Vikas Kumar Anshula Arora Prabhakaran Munusamy Ahalyaa Subramanian Aparna Venkatachalam S Gayathri Sweety Raj Vijaya Chitra Kaveri Verma Salman Zaheer J Balaganesh Malarvizhi Gurusamy Mohammed Razeeth Ilamathi Raja Madhumohan Thandapani Vishal Mevada Raviraj Soni Shruti Rana Girish Muthagadhalli Ramanna Swetha Raghavan Sunil N Subramanya Trupti Kholia Rajesh Patel Varsha Bhavnani Lakavath Chiranjeevi Soumi Sengupta Pankaj Kumar Singh Naresh Atray Swati Gandhi Tiruvayipati Suma Avasthi Shefin Nisthar Meenakshi Anurag Pratibha Sharma Yasha Hasija Debasis Dash Arun Sharma Vinod Scaria Zakir Thomas OSDD Consortium Nagasuma Chandra Samir K Brahmachari Anshu Bhardwaj
author_sort	Rohit Vashisht
title	Crowd sourcing a new paradigm for interactome driven drug target identification in Mycobacterium tuberculosis.
title_short	Crowd sourcing a new paradigm for interactome driven drug target identification in Mycobacterium tuberculosis.
title_full	Crowd sourcing a new paradigm for interactome driven drug target identification in Mycobacterium tuberculosis.
title_fullStr	Crowd sourcing a new paradigm for interactome driven drug target identification in Mycobacterium tuberculosis.
title_full_unstemmed	Crowd sourcing a new paradigm for interactome driven drug target identification in Mycobacterium tuberculosis.
title_sort	crowd sourcing a new paradigm for interactome driven drug target identification in mycobacterium tuberculosis.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/7f5e30f92a504d5a9a73abbdd29ca345
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Crowd sourcing a new paradigm for interactome driven drug target identification in Mycobacterium tuberculosis.

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