About the Bioinformatics Centre

The Centre for Bioinformatics in Pondicherry University was started as Sub Distributed Information Centre of the Department of Biotechnology, Govt. of India (DBT) in 1991. The mandate of the Centre is to train manpower and conduct research in various areas of Bioinformatics and Computational Biology. Recognizing the progress made by the Centre, DBT upgraded the Centre to a full Centre level in 2002 and several new positions were sanctioned and additional funding was allocated.

The Centre was identified as a Centre of Excellence for Research and Training in the field of Bioinformatics by the Department of Information Technology, Govt. of India, New Delhi from 2007 to 2013 and awarded a special grant of ` 3.69 crores. The Centre has taken up several research projects and offered modular courses in Bioinformatics under this Grant.


The Centre is offering a M.Sc. program in Bioinformatics in 2007 supported by the University Grants Commission (UGC) under the scheme of “Innovative Programme - Teaching & Research in Interdisciplinary and Emerging Areas”. From 2009 onwards, the Centre started a Ph.D. Programme in Bioinformatics for advanced research in Bioinformatics and Computational Biology. The Centre started an innovative M.Sc. program in Computational Biology fully funded by DBT in a network mode with Madurai Kamaraj University, Madurai and Anna University, Chennai in 2010. This programme is first of its kind in the country and upgraded to M.Techprogram in Computational Biology from 2014 in collaboration with Anna University, Chennai. The Centre has also signed anMoU with Institute of Bioinformatics (IoB), Bangalore and University of Sienna, Italy for collaborative research and Ph.D. guidance. The Ph.D. students can visit these labs for collaborative research and the details are available at www.bicpu.edu.in.

The Centre has so far organized around 40 National Level Seminars and Training Programs and took a lead in organizing National Seminars in emerging fields like Statistical Computing in Life Sciences, Structural Biology, Genomics, Proteomics and Drug Design. All students, research scholars and faculty are provided round-the-clock computing facility with a separate 11 Mbps dedicated internet connectivity in addition to the regular internet connectivity provided by the University. The Centre has established a separate wet lab facility with sophisticated equipments. Most of the past students were placed in various leading research institutions and industries.

In the past few years, Centre has taken up research activities in the areas of molecular evolution, systems biology, molecular modeling, structural biology, database development etc., and several papers have been published in highly reputed International Journals. The faculty and students have received projects/fellowships from various funding agencies like Department of Biotechnology, Department of Information Technology, University Grants Commission, Council of Scientific and Industrial Research-JRF/SRF, Department of Science and Technology, Bioinformatics National Certificate (BINC), DST-Innovation in Science pursuit for Inspired Research (INSPIRE) and Rajiv Gandhi Fellowship. The University is extending full support for the development of the Centre by providing a new state of the art building. The Centre also received UGC Special Assistance Program (SAP) at the DRS-I level.


Area of Specialization: Molecular Evolution, Systems Biology, DNA-Protein Interactions, Comparative Genomics, Protein Structure Modeling, Molecular modeling, X-ray Crystallography, Drug Design, Cell Signaling, Single particle analysis, Medicinal Chemistry, Computational Biology, Molecular Biology.

  • To meet the national and global requirements of skilled manpower in Bioinformatics and Computational Biology.

  • To provide support to interdisciplinary teaching and research activities in Pondicherry University.

  • To act as a catalyst for promotion of Bioinformatics and Computational Biology in the country.

  • Promoting education and human resource development in Bioinformatics and Computational Biology.
Achievements at a glance
  • Established as Distributed Information Sub Centre(1991)
  • Acted as a nodal point to provide abstract services to research community.
  • Trained scientist and students across the country in Bioinformatics.

2001 -2006

  • Started one year Advanced Post Graduate Diploma course in Bioinformatics funded by DBT, Govt. of India.
  • Centre has been upgraded to full Centre as Distributed Information Sub Centre (DIC)
  • Launched a separate website for the Centre
  • A dedicated 4 Mbps Internet connectivity to the Centre.


  • Received Centre of Excellence in Bioinformatics from the DIT, Govt. of India.
  • Started M.Sc. Course in Bioinformatics support by UGC under “Innovative Programme - Teaching & Research in Interdisciplinary and Emerging Areas”.
  • A sophisticated Wet lab and Instrumentation lab were established.


  • Launched Ph.D. programme in Bioinformatics.
  • Started Modular Course in Bioinformatics under the Centre of Excellence Grant by Dept. of Information Technology, Govt. of India.


  • Started M.Sc. in Computational Biology (DBT, Govt. of India): An innovative program in a network mode with Anna University and Madurai Kamaraj University.
  • Centre has MoU with National and International Institutions.
  • Internet connectivity of the Centre for Bioinformatics has been upgraded to 11 Mbps.


  • Centre was identified to host the national event – “BTISNet’s 25th Silver Jubilee Symposium” and “Coordinators’ meet” of all DBT Bioinformatics Centres at Pondicherry University in Feb 2011.


  • Received UGC Special Assistance Program (SAP) at the DRS-I level


  • A separate state-of-the art building for Bioinformatics Centre was inaugurated.
Current area of research
Molecular Evolution, Systems Biology, DNA-Protein Interactions, Comparative Genomics, Protein Structure Modeling, Molecular modeling, X-ray Crystallography, Drug Design, Cell Signaling, Single particle analysis, Medicinal Chemistry, Computational Biology, Molecular Biology.
Databases/applications developed
Structural Epitope Database (SEDB)
We presented SEDB an online web-based structural epitope database for the analysis of 3D epitopes. Our database coupled with a web interface that, by intelligently organized information from different biological sources. It provides detailed information of epitopes and their interactions with corresponding proteins. For user convenience, these epitopes have been classified based on structure (Linear epitope and Discontinuous epitope) and cell types (B-cell, T-cell and MHC binding). It will allow researchers to select relevant datasets of epitopes (Molecular, 3D structure, literature, Gene Ontology, 3D viewer andantigen-antibody binding etc.).We hope that our effort would also facilitate epitope based vaccine designing research.
Viral Protein Structural Database(VPDB)
Currently, VPDB stores 1,670 viral protein structures, comprised of 1,288 viral proteins obtained from X-Ray diffraction method, 315 from Solution NMR, 47 from Electronic microscopy, 11 from Solid-state NMR and 09 from Fiber diffraction method. Publicly available viral protein data are rich mines of information. Fully exploiting them may provide information pertaining to biological mechanism, function and interaction, which could encourage anti-viral drug and vaccine design. We present here a database coupled with a web interface that, by intelligently organized information from different biological sources, will allow researchers to select relevant datasets (Molecular, structural, literature, binding etc.). We expect that this database will play a significant role in the field of drug designing, vaccine designing and a large group of structural virologist.
Immune Epitope Prediction Tools and Database for viral protein (IEP)
IEP could be the most beneficial resource for identifying and analysing epitope sequence. This database is designed based on the name of the viral disease. Hence, this database will be very helpful for the user to restrict their search selecting the disease name to collect all the experimentally proven epitopes. Moreover, from the whole linear sequence that was used for experimental analysis only the specific region of sequence that have been proven to bind the MHC molecule and confirmed as epitope were collected from various literatures and added in our database.
IEP can suggest some other potential epitope sequence in the user given protein by giving them rank according to their hydropathy score. For this purpose we have selected standard hydropathy scale. It is useful for both types of researcher, Molecular biologist as well as Bioinformatician, Molecular biologist can collect the experimentally proven data of their working area and Bioinformatician can design an epitope based subunit vaccine and drug, based on the data present in IEP database.
The Peptide Binding Protein Database (PepBind) is a curated and searchable repository of the structures, sequences and experimental observations of 3100 protein-peptide complexes. The web interface contains a computational tool, protein inter-chain interaction (PICI), for computing several types of weak or strong interactions at the protein-peptide interaction interface and visualizing the identified interactions between residues in Jmol viewer. This initial database release focuses on providing protein-peptide interface information along with structure and sequence information for protein-peptide complexes deposited in the Protein Data Bank (PDB). PepBind is freely accessible athttp://pepbind.bicpu.edu.in/.
PICI (Protein Inter-Chain Interaction) Tool
The PICI tool was developed for depicting potential hydrogen bonds, disulfide bridges, hydrophobic interactions,ionic interactions, p-p interactions, p-cation interactions, and p-sulfur interactions between the selected chain and core protein. This tool parses the structure coordinate files, removes the hetero atoms and water molecules, and predicts the interaction based on standard and published criteria. For structures determined by NMR, the first model in the file is taken for calculation by PICI tool.The tool is integrated with aJmol viewer to show the various interactions. It also highlights the positions of interacting amino acids on the displayed sequence. This tool also generates an interaction file for each type of interactions.
Clostridium-DTdb: A comprehensive database for potential drug targets of Clostridiumdifficile
Clostridium difficileisconsidered to be one of the most important causes of health care-associated infections currently. The prevalence and severity of C. difficile infection have increased significantly worldwide in the past decade, which has led to increased research interest. Using comparative genomics strategy coupled with bioinformatics tools we have identified 21 potential drug targets in C. difficile and determined their 3D structure in order to develop a database, named Clostridium-DTdb. Currently, the database comprises the potential drug targets with their structural information from three strains of C. difficilePCR Ribotype 027,namely hypervirulent strain R20291, strain 630 and strain CD196. The compilation of potential drug targets with their 3D structure in one platform will be useful for researcher to design new anti-Clostridium drugs. Virtual screening approach can be adopted for screening of inhibitors that can inhibit the function of identified targets. Database can be expanded by identifying potential drug targets from different species and strains of Clostridium whose complete genome sequences are available.
The snapshot of the result page of the Clostridium-DTdb. Results have been shown in various tabs: (a) Search page showing all the search options, (b) Result page showing all the resultant entries for the query, (c)Detailed result for specific entry, (d) Sequence tab, (e) Enzyme tab, (f) Reaction tab, (g) Pathway tab, (h) Orthology tab, (i) Visualization tab, and (j) Download tab.

About the Institution

Pondicherry University is a Central University established by an Act of Parliament in October 1985. It is an affiliating University with a jurisdiction spread over the Union Territory of Puducherry, Lakshwadeep and Andaman and Nicobar Islands. Puducherry is situated on the Coramandal coast, 160k.m. south of Chennai.
The University’s objectives are to disseminate and advance knowledge by offering teaching and research facilities, to make provisions for studies in French and Integrated courses in Humanities and the Sciences, and to promote inter-disciplinary studies and research. The University’s moto is “Vers la lumiere’ meaning ‘towards the light’. The main campus is located at Kalaper, 10 km from the town of Puducherry, in a serene and beautiful campus of 800 acres adjoining the scenic Bay of Bengal.The University also has campuses at Karaikal and Port Blair which currently offer P.G. and Doctoral programmes.For more details visit www.pondiuni.edu.in.
Infrastructure facilites
Computers and Communication Facility

Tesla GPU server, Xeon Quad Core Servers(4 Nos.), Xeon Cluster Servers(3 Nos.), Itanium Server, AMD Opteron Server, Wipro Xeon Server, HP Workstations(5 Nos.), Silicon Graphics Fuel Machine, Apple iMac(2 Nos), HCL Laptops(5 Nos.), HCL/HP Intel Core i5/Core 2 Duo Workstations (145 Nos.) – Works on both Windows and Linux Operating Systems.

The Centre has a dedicated 11 Mbps leased line internet connectivity exclusively for the Centre from BSNL and is managed by Cisco Routers and manageable switches.

Modern computing facilities and round the clock internet connectivity are provided to the students to meet their academic and research needs.

Wet Lab

The Centre has developed a separate wet lab facility. The lab is functional with the following equipments: High performance Liquid Chromatography (AKTA-HPLC), UV-Visible Spectrophotometer, ELISA Reader, Gel Documentation System, PCR Thermal Cycler, -80°C Deep Freezers, -20°C Freezer, Refrigerated Table Top Centrifuge, Quartz Distillation Unit, Water purification system, Bench To Freeze Dryer, Vertical Gel apparatus, Horizontal Gel apparatus, Western blot apparatus, UV illuminator, and pH meter. The Centre is in a process of establishing a cell culture facility.

Scientific Software Packages

Schrodinger Mastero 2011, TriposSybyl 8.1, SPSS 10, Discovery Studio 3.1, Endnote 11, Amber 11, Autodock, Dock, Modeller, Gromos 96, V-Life, Whatif, EMBOSS, BioEdit, Phred, Consed, GeneScan, Statistica, MEGA, R

Resources & Services

A separate website available at www.bicpu.edu.in is being maintained by the Centre. This website, designed in-house and hosted in the web server, is maintained in the Centre. Information about courses, admissions, syllabus, seminar notifications & various opportunities for traineeship/ studentship / JRF are updated periodically. Bioinformatics related tools can be downloaded from the site.

In addition the centre has Domain Name Server (DNS), Database Server, E-Book Intranet Server, Proxy Server and Cluster Computing servers

Databases & Other Information Resources in the Centre

Approximately 600 books available in the reference library of the Centre

Science, Nature, Scientific American, Briefings in Bioinformatics, Bioinformatics, Nature Structural and Molecular Biology, Nature Chemical Biology, Cell, Bioinformatics Trends, Current Science

Linux for you, PC Quest, Biospectrum

Access to E-Journals
University has access to UGC Infonet Journals, Science Direct, Blackwell Publishers, EBSCO Databases

Inter Institutionnel collaboration
Universities/ Institutions
  • Anna University, Chennai
  • Madurai Kamaraj University, Madurai
  • Indian Institute of Technology, Madras
  • Indian Institute of Chemical Technology, Hyderabad
  • University of Madras, Chennai
  • National Institute of Ocean Technology, Chennai

Non-Government Organizations

  • Institute of Bioinformatics (IoB), Bangalore


  • Interdisciplinary Programme in Life Sciences for Advanced Research and Education (IPLS) funded by DBT - (Centre for Bioinformatics, Dept. of Biotechnology, Dept. of Biochemistry & Molecular Biology and Dept. of Chemistry)
  • PURSE Programme, funded by DST

International Organizations

  • University of Sienna, Italy.

Academic Consultancy

The Centre offers consultation services by helping the students of B.Tech (Bioinformatics), M.Sc (Life Sciences), M.Sc. (Biotechnology) and other related disciplines from other Universities to do dissertation work.

Recent publications
Basant K. Tiwary Correlated evolution of Gonadotropin-Releasing Hormone and Gonadotropin-Inhibitory Hormone and their receptors in mammals.Neuroendocrinology (Published by S. Karger AG, Basel) 97 (3), 242-251, 2013 IF : 3.537
V. Vaishnavi, M. Manikandan, Basant K. Tiwary, A. K. Munirajan Insights on the functional impact of microRNAs present in autism associated copy number variants. PLOS ONE (Published by Public Library of Science) 8(2): e56781. doi:10.1371/journal.pone.0056781, 2013 I.F: 3.730
Saravanan. V and P.T.V. Lakshmi SCLAP: An Adaptive Boosting Method for Predicting Sub- chloroplast Localization of Plant Proteins. OMICS A Journal of Integrative Biology, 17 (2): 106-115, 2013 (Mary Ann LiebertInc Publishers) I.F: 2.73
Annamalai, V.L.P. Christina, D. Sudha, Kalpana, P.T.V. Lakshmi Green synthesis, characterization and antimicrobial activity of Au NPs using Euphorbia hirta L. leaf extract. Colloids and Surfaces B: Biointerfaces 108: 60– 65, 2013 (Elsevier publications) I.F: 3.4
S. Borkotoky, V. Saravanan, A. Jaiswal, B. Das, S. Selvaraj, A. Murali and P.T.V.Lakshmi The Arabidopsis Stress Responsive Gene Database, International Journal of Plant Genomics, 1:1-3, 2013 (Hindawi Publishers)
Jayaprakash. C, Lakshmi P.T.V. and Ondari. N. E.Molecular modeling approach and RMSD calibration for superimposed 3D structure of DHFR from Pneumocystis jiroveci (PCP), Am. J. PharmTechRes 3(1): 1-15, 2013 (American Association of Pharmaceutical Scientist)
Vijayakumar Saravanan and P. T. V. Lakshmi*.APSLAP: An Adaptive Boosting Technique for Predicting Subcellular Localization of Apoptosis Protein. ActaBiotheor (DOI 10.1007/s10441-013-9197-1) online August, 2013. I.F: 1
Chandra M. Ithayaraja, P.T.V. Lakshmi*.Sequence Analysis for Structure and Function Characterization of Glutathione Reductase from Nostoc sp. International Journal of Universal Pharmacy and Bio Sciences 2(2): 9-47, 2013.
ManivelPanneerselvam, KannanMuthu, MuthukumaranJayaraman, UpasanaSridharan, PranithaJenardhanan and Krishna Ramadas Molecular Dynamic Simulations of Tubulin-Human Gamma Synuclein Complex: Structural Insight into the regulatory mechanism involved in inducing resistance against Taxol, Molecular BioSystems, 2013 9(6): 1470-1488 I.F: 3.35
SurekhaKanagarajan, NachiappanMutharasappan, PrabhuDhamodharan, MuthukumaranJayaraman, Krishna Ramadas, JeyakanthanJeyaraman Exploring the structural features of Aspartate Trans Carbamoylase (TtATCase) from Thermusthermophilus HB8 through in silico approaches: A potential drug target for inborn error of pyrimidine metabolism, Journal of Biomolecular Structure and Dynamics, 2013 (In-Press) I.F:4.9
ArindamAtanu Das, Om Prakash Sharma, M. Suresh Kumar, R. Krishna, P.P. Mathur PepBind: A comprehensive database and computational tool for analysis of protein–peptide interactions.Genomics Proteomics and Bioinformatics.2013, 241-246.
RevathiMasilamani, Om Prakash Sharma, Suresh Kumar Muthuvel&Sakthivel Natarajan. Cloning, expression of ß-1,3-1,4 glucanase from Bacillus subtilis SU40 and the effect of calcium ion on the stability of recombinant enzyme: in vitro and in silico analysis. 9(19): 958-962, 2013 I.F: 1*
Om Prakash Sharma, YellamandayaVadalamudi, Arun Gupta Kota, Vikrant Kumar Sinha and Muthuvel Suresh Kumar. Drug targets for lymphatic filarisis: a bioinformatics approach. Journal of Vector Bourne Diseases J Vector Borne Dis 50, September 2013, pp. 155–162. I.F: 1.177
ArindamAtanu Das, Om Prakash Sharma, Muthuvel Suresh Kumar, Ramadas Krishna, Premendu P. Mathur PepBind: A Comprehensive Database and Computational Tool for Analysis of Protein–peptide Interactions.Genomics Proteomics Bioinformatics. 11(4):241-6, 2013.
Ramamurthy C, Sampath KS, Arunkumar P, Kumar MS, Sujatha V, Premkumar K, Thirunavukkarasu C. Green synthesis and characterization of selenium nanoparticles and its augmented cytotoxicity with doxorubicin on cancer cells. Bioprocess Biosyst Eng. 36(8):1131-9, 2013 . I.F: 1.87
Om Prakash Sharma, Yellamandayyavadlamudi, Qinghua Liao, Birgit strodel and M. Suresh Kumar. Molecular modeling, Dynamics, and an insight into the structural inhibition of cofactor independent phosphoglyceratemutase isoform 1 from Wuchereriabancroftiusing cheminformatics and mutational studies.J BiomolStructDyn. 31(7):765-78, 2013. I.F: 4.99

Ismail AM, Sharma OP, Kumar MS, Eapen CE, Kannangai R, Abraham P. Virological response and antiviral resistance mutations in chronic hepatitis B subjects experiencing entecavir therapy: An Indian subcontinent perspective. Antiviral Res. 98(2):209-16, 2013. I.F: 3.99
Ismail AM, Sharma OP,Kumar MS, Kannangai R, Abraham P.Impact of rtI233V mutation in hepatitis B virus polymerase protein and adefovir efficacy: Homology modeling and molecular docking studies.Bioinformation. 9(3):121-5, 2013. I.F: 1*
Sunitha K, Suresh P, Santhosh MS, Hemshekhar M, Thushara RM, Marathe GK, Thirunavukkarasu C, Kemparaju K, Kumar MS, Girish KS.Inhibition of Hyaluronidase by N-acetyl cysteine and Glutathione: Role of Thiol group in Hyaluronan protection. Int J BiolMacromol. 2013 Apr; 55:39-46, 2013. I.F: 2.596
Buvaneswari S., Archana Pan Identification and characterization of potential therapeutic candidates in emerging human pathogen Mycobacterium abscessus: A novel hierarchical in silico approach, PLoS One (2013), Vol.8, e59126 (PLOS publication) I.F: 3.730
AnkushJadhav, Vijayalakshmi E., O. P. Sharma, Archana Pan Clostridium-DTdb:A comprehensive database for potential drug targets of Clostridiumdifficile, Comput. Biol. Med. (2013), Vol. 43, 362–367 (Elsevier publication) I.F:1.162
Vijayalakshmi E., O.P. Sharma, Archana Pan In silico identification of potential drug targets in Clostridium difficile R20291: Modeling and virtual screening analysis of a candidate enzyme MurG, Med. Chem. Res. (2013), Vol. 22, 2692-2705 (Springer publication) I.F: 1.612
SangeethaBalasubramanian, MuthukumaranRajagopalan and AmuthaRamaswamy SubhomoiBorkotoky, Vijayakumar Saravanan, Amit Jaiswal, Bipul Das, Suresh Selvaraj, AyaluruMurali and P T V Lakshmi“ The Arabidopsis stress responsive gene database” in International Journal of Plant Genomics, Vol. 2013 (2013), Article ID 949564.
SubhomoiBorkotoky, Chetan Kumar Meena, Mohammad Wahab Khan and AyaluruMurali Three Dimensional Electron Microscopy and in silico tools for macromolecular structure determination, EXCLI Journal Vol. 12, pp. 335 (2013).
ToshisangbaLongkumer, SwethaKamireddy,Venkateswar Reddy Muthyala,Shaikh Akbarpasha, Gopi Krishna Pitchika, GopinathKodetham, MuraliAyaluru&DayanandaSiddavattam Acinetobacter phage genome is similar to Sphinx 2.36, the circular DNA copurified with TSE infected particles, Scientific Reports Vol. 3, pp. 2240 (2013).
Hui-Yi Shiao, MohaneSelvarajCoumar, Chun-Wei Chang, Yi-Yu Ke, Ya-Hui Chi, Chang-Ying Chu, Hsu-Yi Sun, Chun-Hwa Chen, Wen-Hsing Lin, Ka-Shu Fung, Po-Chu Kuo, Chin-Ting Huang, Kai-Yen Chang, Cheng-Tai Lu, John T. A. Hsu, Chiung-Tong Chen, Weir-Torn Jiaang, Yu-Sheng Chao, and Hsing-Pang Hsieh. Optimization of Ligand and Lipophilic Efficiency To Identify an in Vivo Active Furano-Pyrimidine Aurora Kinase Inhibitor. J Med Chem. 2013, 56, 5247-5260. I.F: 5.6
Yi-Hui Peng, Hui-Yi Shiao, Chih-Hsiang Tu, Pang-Min Liu, John Tsu-An Hsu, Prashanth Kumar Amancha, Jian-Sung Wu, MohaneSelvarajCoumar, Chun-Hwa Chen, Sing-Yi Wang, Wen-Hsing Lin, Hsu-Yi Sun, Yu-Sheng Chao, Ping-Chiang Lyu, Hsing-Pang Hsieh, and suyingwu. Protein Kinase Inhibitor Design by Targeting the Asp-Phe-Gly (DFG) Motif: The Role of the DFG Motif in the Design of Epidermal Growth Factor Receptor Inhibitors. J Med Chem. 2013, 56, 3889-3903. I.F: 5.6
Jiun-Ming Wu, Chiung-Tong Chen, MohaneSelvarajCoumar, Wen-Hsin Lin, Zi-Jie Chen, John T.-A. Hsu, Yi-Hui Peng, Hui-Yi Shiao, Wen-Hsing Lin, Chang-Ying Chu, Jian-Sung Wu, Chih-Tsung Lin, Ching-Ping Chen, Ching-Cheng Hsueh, Kai-Yen Chang, Li-Pin Kao, Chi-Ying F. Huang, Yu-Sheng Chao, Su-Ying Wu, Hsing-Pang Hsieha, and Ya-Hui Chi. Aurora kinase inhibitors reveal mechanisms of HURP in nucleation of centrosomal and kinetochore microtubules. Proc. Natl. Acad. Sci. U S A2013, 110, E1779-E1787 I.F: 9.7
Yi-Yu Ke, Hui-Yi Shiao, Yung Chang Hsu, Chang-Ying Chu, Wen-Chieh Wang, Yen-Chun Lee, Wen-Hsing Lin, Chun-Hwa Chen, John T. A. Hsu, Chun-Wei Chang, Cheng-Wei Lin, Teng-KuangYeh, Yu-Sheng Chao, MohaneSelvarajCoumar,* and Hsing-Pang Hsieh.* 3D-QSAR assisted drug design: identification of a potent quinazoline based Aurora kinase inhibitor. ChemMedChem. 2013, 8, 136-148 I.F : 3.3
MohaneSelvarajCoumar,¦ Fang-Ying Tsai, Jagat Rakesh Kanwar,, SailuSarvagalla, Chun Hei Antonio Cheung.¦ Treat cancers by targeting survivin: just a dream or future reality?Cancer Treatment Reviews. 2013. I.F : 6.0
AmoudaNizam, BuvaneswariShanmugham Self-Organizing Genetic Algorithm: A Survey Digital Library, International Journal of Computer Applications Volume 65, pp-18, 2013
US8507502B2. Hsing-Pang Hsieh,MohaneSelvarajCoumar, Tsu-An Hsu, Wen-Hsing Lin, Yi-Rong Chen and Yu-Sheng Chao. “Fused bicyclic and tricyclic pyrimidine compounds as tyrosine kinase inhibitors”
Faculty Members
Dr. Basant K. Tiwary
Centre Head
Centre for Bioinformatics
School of Life Sciences
Pondicherry University
Puducherry – 605 014
Tel: (0413) 2655212, 2655211
Fax: (0413) 2655211
Email: head.bic@pondiuni.edu.in
Bioinformatics Centre
Contact us Site map Archive   Last updated on: 24 March 2017
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