RT Journal
A1 Peri, Suraj
A1 Navarro, J. Daniel
A1 Amanchy, Ramars
A1 Kristiansen, Troels Z.
A1 Jonnalagadda, Chandra Kiran
A1 Surendranath, Vineeth
A1 Niranjan, Vidya
A1 Muthusamy, Babylakshmi
A1 Gandhi, T.K.B.
A1 Gronborg, Mads
A1 Ibarrola, Nieves
A1 Deshpande, Nandan
A1 Shanker, K.
A1 Shivashankar, H.N.
A1 Rashmi, B.P.
A1 Ramya, M.A.
A1 Zhao, Zhixing
A1 Chandrika, K.N.
A1 Padma, N.
A1 Harsha, H.C.
A1 Yatish, A.J.
A1 Kavitha, M.P.
A1 Menezes, Minal
A1 Choudhury, Dipanwita Roy
A1 Suresh, Shubha
A1 Ghosh, Neelanjana
A1 Saravana, R.
A1 Chandran, Sreenath
A1 Krishna, Subhalakshmi
A1 Joy, Mary
A1 Anand, Sanjeev K.
A1 Madavan, V.
A1 Joseph, Ansamma
A1 Wong, Guang W.
A1 Schiemann, William P.
A1 Constantinescu, Stefan N.
A1 Huang, Lily
A1 Khosravi-Far, Roya
A1 Steen, Hanno
A1 Tewari, Muneesh
A1 Ghaffari, Saghi
A1 Blobe, Gerard C.
A1 Dang, Chi V.
A1 Garcia, Joe G.N.
A1 Pevsner, Jonathan
A1 Jensen, Ole N.
A1 Roepstorff, Peter
A1 Deshpande, Krishna S.
A1 Chinnaiyan, Arul M.
A1 Hamosh, Ada
A1 Chakravarti, Aravinda
A1 Pandey, Akhilesh
T1 Development of Human Protein Reference Database as an Initial Platform for Approaching Systems Biology in Humans
JF Genome Research 
JO Genome Research 
YR 2003 
FD October 01 
VO 13 
IS 10 
SP 2363 
OP 2371 
DO 10.1101/gr.1680803 
UL http://genome.cshlp.org/content/13/10/2363.abstract 
AB Human Protein Reference Database (HPRD) is an object database that integrates a wealth of information relevant to the function of human proteins in health and disease. Data pertaining to thousands of protein-protein interactions, posttranslational modifications, enzyme/substrate relationships, disease associations, tissue expression, and subcellular localization were extracted from the literature for a nonredundant set of 2750 human proteins. Almost all the information was obtained manually by biologists who read and interpreted >300,000 published articles during the annotation process. This database, which has an intuitive query interface allowing easy access to all the features of proteins, was built by using open source technologies and will be freely available at http://www.hprd.org to the academic community. This unified bioinformatics platform will be useful in cataloging and mining the large number of proteomic interactions and alterations that will be discovered in the postgenomic era.