ReviewJournal of computational chemistry2026
A Review of Current Computational Tools for Peptide-Protein Docking.
Review in Journal of computational chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Bridging Algorithms and Biocatalysis: Perspectives on AI-Supported Enzyme Engineering.Molecules (Basel, Switzerland) · 2026Review
- Peptide-protein docking: from physics-based models to generative intelligence.Chemical communications (Cambridge, England) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Peptide-protein docking is an increasingly important technique in computational biochemistry and drug discovery, allowing researchers to predict interactions between peptides and proteins and guiding the development of peptide-based therapeutics. This review provides a detailed overview of the current landscape of peptide-protein docking programs, emphasizing their importance and versatility. Through an extensive literature search, we identify and describe 14 dedicated peptide-protein docking programs, along with small-molecule docking software that supports peptide docking. Additionally, we explore state-of-the-art AI-driven alternatives that are advancing the field. By describing the distinct features, methodological approaches, strengths, and inherent limitations of each docking tool, this review aims to support researchers in navigating the wide range of available docking programs and making well-informed choices tailored to their specific research objectives.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.