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Hemolytik 2: An Updated Database of Hemolytic Peptides and Proteins

Authors: Rathore, Anand Singh; Raghava, Gajendra;

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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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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