ApInAPDB: a database of apoptosis-inducing anticancer peptides

Area of Science:

• Biochemistry
• Bioinformatics
• Computational Biology

Background:

• Apoptosis-inducing anticancer peptides are crucial for targeted cancer therapy.
• A centralized resource for these peptides is needed to facilitate research and drug design.

Purpose of the Study:

• To develop and present ApInAPDB, the first comprehensive database of apoptosis-inducing anticancer peptides.
• To provide researchers with extensive peptide-related information for advancing cancer therapy.

Main Methods:

• Manual curation of 818 apoptosis-inducing anticancer peptides from scientific literature.
• Calculation and presentation of physicochemical properties (e.g., GRAVY, net charge, hydrophobicity).
• Inclusion of structural information, including 3D modeling and secondary structure prediction for QSAR modeling.

Main Results:

• ApInAPDB contains 818 manually curated apoptosis-inducing anticancer peptides.
• The database includes detailed functional, binding, and physicochemical data for each peptide.
• Structural information and QSAR descriptors are provided to support peptide design.

Conclusions:

• ApInAPDB serves as a valuable resource for researchers in peptide design and cancer therapy.
• The database facilitates the discovery and development of novel anticancer peptides.
• User-friendly search tools enhance accessibility and utility for the scientific community.