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PrFEcT-Predict is a comprehensive database of computational protein structure models and function predictions for selected genomes. Structure models are generated by comparative modeling and threading methods. Some of the models are downloaded from other databases, and the rest are generated by us using several existing programs. Quality assessment of each predicted structural models are also provided by running various existing quality assessment software. Computational function prediction results for unknown gene products are provided using PFP and ESG algorithms
Contact Information
Daisuke Kihara (Principal Investigator)
Hockmyer Structural Biology Building - 237
Department of Biological Sciences and Department of Computer Science
Purdue University
West Lafayette, IN, 47906
Tel: 765-496-2284
Email:dkihara@purdue.edu
Meghana Chitale (Graduate Student)
Hockmyer Structural Biology Building - 238
Department of Computer Science
Purdue University
West Lafayette, IN, 47906
Email:mchitale@purdue.edu
Acknowledgement
We would like to thank the following people for providing the resources which make the website possible:
Dr. Yifang Yang former Phd student at Kihara lab working on PrFEct-Predict
Anolea by Francisco Melo Ledermann, PhD., Assistant Professor at P. Universidad Catolica de Chile
FAMSBASE Models by Dr. Mitsuo Iwadate and Professor Hideaki Umeyama at Kitasato university
PrFEcT-Predict is operated and maintained by the Kihara Lab at Purdue University, West Lafayette, IN, USA.
Last updated January 17, 2011