Evidence map›Paper›PMID 41487131›Full record

ReviewChemical science2026

Exploring and expanding the chemical multiverse of peptides.

Edgar López-López, Jean Paul Sánchez-Castañeda, Massyel S Martinez-Cortés, Cesar de la Fuente-Nunez, José L Medina-Franco

Abstract readReview
In one paragraph

Review in Chemical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Edgar López-LópezDIFACQUIM Research Group, Department of Pharmacy, School of Chemistry, Universidad Nacional Autónoma de México Avenida Universidad 3000 Mexico City 04510 Mexico medinajl@unam.mx jeanpaul.sac@comunidad.unam.mx mass.bqd@gmail.com jose.medina.franco@gmail.com.ORCID https://orcid.org/0000-0002-7422-6059
Jean Paul Sánchez-CastañedaDIFACQUIM Research Group, Department of Pharmacy, School of Chemistry, Universidad Nacional Autónoma de México Avenida Universidad 3000 Mexico City 04510 Mexico medinajl@unam.mx jeanpaul.sac@comunidad.unam.mx mass.bqd@gmail.com jose.medina.franco@gmail.com.ORCID https://orcid.org/0000-0002-3247-7167
Massyel S Martinez-CortésDIFACQUIM Research Group, Department of Pharmacy, School of Chemistry, Universidad Nacional Autónoma de México Avenida Universidad 3000 Mexico City 04510 Mexico medinajl@unam.mx jeanpaul.sac@comunidad.unam.mx mass.bqd@gmail.com jose.medina.franco@gmail.com.ORCID https://orcid.org/0009-0008-6160-3792
Cesar de la Fuente-NunezMachine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania Philadelphia Pennsylvania USA cfuente@upenn.edu.ORCID https://orcid.org/0000-0002-2005-5629
José L Medina-FrancoDIFACQUIM Research Group, Department of Pharmacy, School of Chemistry, Universidad Nacional Autónoma de México Avenida Universidad 3000 Mexico City 04510 Mexico medinajl@unam.mx jeanpaul.sac@comunidad.unam.mx mass.bqd@gmail.com jose.medina.franco@gmail.com.ORCID https://orcid.org/0000-0003-4940-1107

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peptides occupy a unique and rapidly expanding domain within the broader chemical space, offering exciting opportunities for therapeutic, nutritional, cosmetic, and materials applications. While efforts to characterize chemical space have traditionally focused on small molecules, growing evidence underscores the value of extending this concept to include peptide-based compounds. In this review, we survey recent advances in the exploration and expansion of the peptide chemical space, focusing on short peptides that bridge chemoinformatics and bioinformatics perspectives. We begin by briefly discussing the impact and applications of peptides in various research and industry areas and then examining the theoretical and practical size of the peptide chemical space, emphasizing how naturally occurring and synthetic peptides vastly increase its diversity. We then discuss molecular representations-from conventional notations to specialized peptide descriptors-highlighting their impact on library design, structural analyses, and activity predictions. Visualization methods and machine learning models are presented as tools for mapping structure-property and structure-function relationships. Next, we explore computational strategies for

Identifiers

PMID41487131
PMCPMC12757786

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.