Catalytic Peptides Dataset

Published: 11 May 2023| Version 2 | DOI: 10.17632/6s9kxj2ndr.2
Contributors:
Patrizia Janković, Erik Otović, Goran Mauša, Daniela Kalafatovic

Description

Manually curated dateset containing catalytic peptides reported in literature tested against the p-NPA and p-NPP substrates devided into two csv files based on whether they contain proteinogenic or non-proteinogenic amino acids. Along with the active sequences, inactive entries have been included. The tables are comprised of nine columns containing one-letter amino acid codes, sequence modifications, SMILES (Simplified molecular-input line-entry system) annotations, the substrates that the sequences were tested against along with the corresponding catalytic parameters (Kcat/KM and catalytic efficiency), mechanisms of action, ability to form secondary structures and/or self-assemble.

Files

Steps to reproduce

The data was collected from the Google Scholar search engine using the key words: p-NPA, p-NPP, catalytic peptides, and self-assembly. Articles containing peptides tested against the p-NPA and p-NPP substrate were selected for the dataset.

Institutions

Sveuciliste u Rijeci, Sveuciliste u Rijeci Tehnicki Fakultetu

Categories

Peptides, Machine Learning, Catalytic Reaction, Self-Assembled Catalyst

Funding

Hrvatska Zaklada za Znanost

DOK-2020-01-4659

Sveučilište u Rijeci

uniri-mladi-intpo-22-32790

Hrvatska Zaklada za Znanost

DOK-2020-01-4659

Licence