Conference Proceedings

• Aditya Rao*, Sri Jyothsna Yeleswarapu, Gudladona Raghavendra, Rajgopal Srinivasan and Gopalakrishnan Bulusu*. PlasmoID: A P. falciparum protein information discovery tool. In Silico Biology 9:0016; 2009.
• Monzoorul M Haque, Tarini Shankar Ghosh, Dinakar Komanduri and Sharmila S. Mande. SOrt-ITEMS: Sequence Orthology based approach for Improved Taxonomic Estimation of Metagenomic Sequences Bioinformatics 2009 25(14):p 1722-1730
• Sharma M, Bulusu G and Mitra A. MD simulations of ligand-bound and ligand-free aptamer: Molecular level insights into the binding and switching mechanism of the add A-riboswitch. RNA (2009) 15: p 1673-1692. [RNA. 2009 Sep;15(9):1673-92. Epub 2009 Jul 22. Erratum in: RNA. 2009 Nov; 15(11):2072.]

Technical Reports

• Performance Enhancement of Digital Video Watermarking System using Feature Transforms, Chalamala Srinivasa Rao, Jyoti Dhillon, Krishna Rao Kakkirala – TACTiCS 2010.

Publications  

1. Sharmila S. Mande and V. V. Raja Rao
Comparative analysis of tandem repeats in the 44 outer membrane proteins of non-pathogenic (K12) and two pathogenic (O157) strains of E. coli
Current Science Vol. 20, Number 1, Page 88-94, Jan 2006

2. V V Raja Rao, Bhanumathi Nittala and Sharmila Mande
Mixed Memory Markov Model (4M) algorithm for prediction of genes in genomes.
CSI Communications, Vol. 30, Number 6, Page 35-36, September 2006

3. Aparna V, Jeevan J, Ravi M, Desiraju GR, Gopalakrishnan B
3D-QSAR studies on antitubercular thymidine monophosphate kinase inhibitors based on different alignment methods.
Bioorg Med Chem Lett. 2006, 16:1014-20.

4. Sitarama B Gunturi  and Ramamurthi Narayanan
In silico ADME Modeling: Computational models to Predict Human Serum Albumin Binding Affinity Using Ant Colony Systems.
Drugs of the Future, Vol 31, Suppl. A, Page No 45, (2006).

5. Sitarama B Gunturi  and Ramamurthi Narayanan
In silico ADME Modeling: Computational models to Predict Human Intestinal Absorption using Sphere Exclusion and kNN QSAR methods
Drugs of the Future, Vol 31, Suppl. A, Page No 140, (2006).

6. Sitarama B Gunturi , Ramamurthi Narayanan and Akash Khandelwal
In Silico ADME Modelling 2: Computational Models to Predict Human Serum Albumin Binding Affinity Using Ant Colony Systems, .
Bioorganic and Medicinal Chemistry ,14, 4118-4129,(2006).

7. Sharmila Mande and V. V. Raja Rao, “Comparative analysis of tandem repeats in the 44 outer membrane proteins of non - pathogenic (K12) and two pathogenic (O157) strains of E.coli”, Current Science (In press), 2005.

8. Patrick Fleming, Rajgopal Srinivasan and George D. Rose
A novel method reveals that solvent water favors polyproline II over  beta-strand conformation in peptides and unfolded proteins:  conditional hydrophobic accessible surface area (CHASA).  Protein Sci. 2005 Jan;14(1):111-8

9. Thilagavathi R, Kumar R, Aparna V, Sobhia ME, Gopalakrishnan B, Chakraborti AK, “Three-dimensional quantitative structure (3-D QSAR) activity relationship studies on imidazolyl and N-pyrrolyl heptenoates as 3-hydroxy-3-methylglutaryl-CoA reductase (HMGR) inhibitors by comparative molecular similarity indices analysis (CoMSIA).”, Bioorg Med Chem Lett. 15:1027-32, 2005.

10. B. Gopalakrishnan, V. Aparna, J. Jeevan, M. Ravi, and G. R. Desiraju, “A Virtual Screening Approach for Thymidine Monophosphate Kinase Inhibitors as Antitubercular Agents Based on Docking and Pharmacophore Models”, J. Chem. Inf. Model. 45, 1101-1108, 2005

11. V. Aparna, J. Jeevan, M. Ravi, G. R. Desiraju and B. Gopalakrishnan, “3D-QSAR Studies on Antitubercular Thymidine Monophosphate Kinase Inhibitors Based on Different Alignment Methods”, Bioorg Med Chem Lett. 2005 Nov 13; [Epub ahead of print]

12. Ramamurthi Narayanan and Sitarama B. Gunturi,  “In Silico ADME Modelling: Prediction Models for Blood-Brain Barrier Permeation Using A Systematic Variable Selection Method”, Bioorganic and Medicinal Chemistry, 13(2005) 3017 – 3028.

13. Narayanan Ramamurthi and Sitarama B Gunturi, “In silico ADME Modeling: QSPR Models for the Binding of - Lactams to Human Serum Proteins Using Genetic Algorithms”,  ARKIVOC, 2005 (xi), 102-123.