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raghavagps/Hemolytik2: Hemolytik 2: An Updated Database of Hemolytic Peptides and Proteins

Authors: Rathore, Anand Singh; Raghava, Gajendra;

raghavagps/Hemolytik2: Hemolytik 2: An Updated Database of Hemolytic Peptides and Proteins

Abstract

Title: Hemolytik 2.0 Database – Complete Dataset of Hemolytic and Non-Hemolytic Peptides Description: Project: Hemolytik 2.0 Publication: Singh, A., Raj SA, K., Rathore, A.S., & Raghava, G.P.S. (2025). Hemolytic 2: An Updated Database of Hemolytic Peptides and Proteins. ACS Chemical Research in Toxicology. https://doi.org/10.1021/acs.chemrestox.5c00322 Overview: This dataset is the release accompanying the Hemolytik 2.0 database publication. It contains 13,215 systematically curated entries of experimentally validated hemolytic and non-hemolytic peptides, providing a comprehensive resource for peptide drug development and computational toxicology. Content: The data includes unique peptide sequences (7,534), their amino acid sequences, hemolytic activity measurements, biological source, stereochemistry, terminal modifications, structural classification (linear/cyclic), and predicted tertiary structures (where available). The dataset also includes peptides associated with antimicrobial, anticancer, and other bioactivities. Data Curation: Information was manually extracted from 1,645 peer-reviewed articles published between 2013 and 2024, as well as major peptide databases (APD3, UniProt, CAMP-R4, DRAMP 4.0). The complete methodology is detailed in the associated publication. Usage: This dataset is designed for large-scale analyses, including machine learning model training, Quantitative Structure-Activity Relationship (QSAR) studies, and the rational design of non-hemolytic therapeutic peptides. It supports researchers in identifying and optimizing peptide candidates with improved safety profiles. License: CC BY 4.0 Contact: raghava@iiitd.ac.in

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