Daniel Zaidman
Papers
2
Total Citations
33
H-Index
2
About
Daniel Zaidman is a structural bioinformatician whose work focuses on the computational design of peptide-based inhibitors for protein-protein interactions (PPIs). His key research areas include peptide design algorithms, molecular docking, and ant colony optimization applied to bioinformatics. Zaidman’s major contribution is the development of **PinaColada** (Peptide–Inhibitor Ant Colony Ad-hoc Design Algorithm), a novel computational tool that uses ant colony optimization to design short peptides (5–15 amino acids) capable of disrupting PPIs. This work addresses a critical challenge in drug discovery, as PPIs are notoriously difficult to target with small molecules. His most-cited paper on PinaColada (2016) has garnered 31 citations, reflecting its impact on the field. Additionally, Zaidman co-authored the **PepCrawler** algorithm, which further advances peptide design by integrating structural flexibility. His research has been published in leading bioinformatics venues, including *Bioinformatics* and *Proteins*. Zaidman’s innovative use of swarm intelligence for peptide design has opened new avenues for developing therapeutic inhibitors, making his work highly relevant for researchers in computational biology and drug design.
Research Focus
Key Achievements
Top Papers
- 1PinaColada: peptide–inhibitor ant colony ad-hoc design algorithm31 citations · 2016
- 2Protein-Peptide Interaction Design: PepCrawler and PinaColada2 citations · 2017