Dr. Kalidas Yeturu

Associate Professor

Areas of Interest

• Machine Learning algorithms and applications
• Big Data Technologies
• Bioinformatics
• Internet of Things

Education

• Ph.D, Indian Institute of Science, Bangalore, India
• B.Tech, Sri Venkateswara University College of Engineering, Tirupati

Patents

• Primary inventor: Kalidas Yeturu (2018). “ Multi-level clustering for associating semantic classifiers with content regions”. US10108695. Organization: Amazon. Filed: Aug 3, 2015, Publication date: Oct 23, 2018.
• Primary/Single inventor: Kalidas Yeturu (2018). “ Generation of imagery from descriptive text”. US10074200. Organization: Amazon. Filed: Apr 22, 2015, Publication date: Sep 11, 2018.
• Co-author: Kalidas Yeturu (2016). “Low Light Image Noise Removal Using Multiple Frames”. 3585/CHE/2013. Organization: Samsung. Filed: 12/08/2013, Publication date: 17/06/2016.

Latest Publications

• Praveen Anand, Kalidas Yeturu and Nagasuma Chandra (2012). “PocketAnnotate: towards site-based function annotation”. http://proline.biochem.iisc.ernet.in/pocketannotate/Nucleic Acids Research, 40(W1): W400 – W408. doi:10.1093/nar/gks421. Impact Factor: 8.808. #Citations=18.
• Kalidas Yeturu and Nagasuma Chandra (2011). “PocketAlign: A novel algorithm for aligning binding sites in protein structures”. http://proline.physics.iisc.ernet.in/pocketalign Journal of Chemical Information and Modeling, 51(7), p. 1725-1736. doi:10.1021/ci200132z. Impact Factor 4.068. #Citations=27.
• Kalidas Yeturu and Chandra N (2008).“PocketMatch: a new algorithm to compare binding sites in protein structures”. http://proline.physics.iisc.ernet.in/pocketmatch BMC Bioinformatics, 9:543 (17 pages). Impact factor: 2.67. #Citations=110.
• Kalidas Yeturu and Chandra N (2008).“PocketDepth: a new depth based algorithm for identification of ligand binding sites in proteins”. http://proline.physics.iisc.ernet.in/pocketdepth Journal of Structural Biology, 161, p. 31-42. Impact factor: 3.369. #Citations=86.
• Karthik Raman, Kalidas Yeturu and Nagasuma Chandra (2008).“targetTB: A target identification pipeline for Mycobacterium tuberculosis through a reactome, interactome and genome-scale structural analysis”. http://proline.physics.iisc.ernet.in/targetTB BMC Systems Biology,2:109 (44 pages). Impact factor: 2.85. #Citations=195.