title: A database for Plasmodium falciparum protein models.
abstract: There is an urgent need for developing alternate strategies to combat Malaria caused by Plasmodium falciparum (P. falciparum) because of growing drug resistance and increased incidents of infection in humans. 3D models of P. falciparum annotated proteins using molecular modeling techniques will enhance our understanding about the mechanism of host parasite interactions for the identification of drug targets and malarial vaccine design. Potential structural templates for P. falciparum annotated proteins were selected from PDB (protein databank) using BLASTP (basic local alignment search tool for proteins). This exercise identified 476 Plasmodium proteins with one or more known structural templates (>or= 40 % identity) for further modeling. The pair-wise sequence alignments generated for protein modeling were manually checked for error. The models were then constructed using MODELLER (a comparative protein modelling program for modelling protein structures) followed by energy minimization in AMBER force field and checked for error using PROCHECK.
  
  
  BACKGROUND
  http://bioinfo.icgeb.res.in/codes/model.html.
authors.affiliation: Structural and Computational Biology Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), Aruna Asaf Ali Marg, New Delhi 110067, India.
authors.forename: Ramasamy
authors.initials: R
authors.lastname: Gowthaman
authors.forename: Duraisamy
authors.initials: D
authors.lastname: Sekhar
authors.forename: Mridul Kumar
authors.initials: MK
authors.lastname: Kalita
authors.forename: Dinesh
authors.initials: D
authors.lastname: Gupta