ApInAPDB

Apoptosis-Inducing Anticancer Peptides Database

Top categories Browser

Top categories browser is developed to find information based on four major categories including length of peptide sequence, peptide charge, source and binding target.

Overall structure and features of ApInAPDB

Overall mechanism of apoptosis inducing peptides

Welcome to ApInAPDB

ApInAPDB (Apoptosis-Inducing Anticancer Peptides Database) is a manually collected as a comprehensive database which is dedicated to apoptosis-inducing peptides and their analogues regardless of their degree of effectiveness. ApInAPDB attempts to present information for researchers interested in studying and developing apoptosis inducing peptides in order to:

  • Find the most efficient peptide
  • Determine if designed peptides are novel
  • Browse database with a user friendly searching tool
  • Develop QSAR models for those analogues with the same lead peptide/ protein using calculated descriptor files
  • Perform docking, molecular dynamic simulation and screening for peptides with known binding target reported for each peptide
  • Design apoptosis inducing peptides focusing on the secondary structure prediction
  • Find comprehensive physicochemical properties as well as original information

The current version of the database provides information related to a peptide including source, modification, presence of non-natural amino acid, binding target, function, IC50 of peptide, cell lines, binding affinity, etc. Additionally, several physicochemical properties such as isoelectric point, net charge at pH 7, hydrophobicity and GRAVY among others and also 1559 descriptors for QSAR modeling are calculated for the majority of the peptides. The secondary structures are predicted using Chou-Fasman, GOR, Neural Network algorithms and a combination of these methods. Some user-friendly searching tools have been developed to facilitate browsing and achieving the desired results including simple search, advanced search and top categories browser.

Since updating the database with novel information is very important, authors will attempt to update it and add newly studied apoptosis-inducing peptides with their original, physicochemical properties and supplementary information.

This database was developed at Bioinformatics Lab of Tarbiat Modares University, Tehran, Iran

The following people have contributed to creating ApInAPDB:

  • Naser Faraji
  • Department of Medical Nanotechnology, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences
  • Alireza Doustmohammadi
  • Department of Biophysics, Faculty of Biological Sciences, Tarbiat Modares University
  • Dr. Ahmad Yari Khosroushahi
  • Department of Medical Nanotechnology, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences
  • Dr. Seyed Shahriar Arab
  • Department of Biophysics, Faculty of Biological Sciences, Tarbiat Modares University