Artificial Intelligence in Peptide-Based Drug Discovery: A Bibliometric Analysis of Predictive Modeling and Molecular Design

Published: 16 October 2026| Version 1 | DOI: 10.17632/wv4363f4k2.1
Contributor:
Aziza Omari

Description

This dataset accompanies the bibliometric study entitled “Artificial Intelligence in Peptide-Based Drug Discovery: A Bibliometric Analysis of Predictive Modeling and Molecular Design”. The study examines the development, intellectual structure, research trends, and applications of artificial intelligence (AI) in peptide-based drug discovery. The analysis is based on 1,952 publications retrieved from Scopus and Web of Science, with a search date of 13 October 2026. The repository contains derived bibliometric data, aggregated analytical tables, network data, methodological codebooks, classification dictionaries, and a Python validation script.

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Pharmacology, Pharmaceutical Science

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