Symmetry/Asymmetry in DNA, Proteins, and Omics Data: Advances in Computational Biology

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Life Sciences".

Deadline for manuscript submissions: 31 May 2026 | Viewed by 309

Special Issue Editors


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Guest Editor
Computer Science Institute, Universidad Tecnológica de la Mixteca, Huajuapan de León 69004, Oaxaca, Mexico
Interests: bioinformatics; explainable artificial intelligence; deep/machine learning
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Instituto Nacional de Enfermedades Respiratorias (INER) Ismael Cosío Villegas, Mexico City 14080, Mexico
Interests: respiratory diseases; bioinformatics; computational biology; aging; omics; organoids

Special Issue Information

Dear Colleagues,

Welcome to “Symmetry/Asymmetry in DNA, Proteins, and Omics Data: Advances in Computational Biology”, a Special Issue dedicated to showcasing the latest breakthroughs in computational biology, especially in the context of how symmetry and asymmetry play a role in DNA, proteins, and omics data, and how computational biology can help us to understand them better.

We welcome original research papers, reviews and cutting-edge case studies that use omics sciences (genomics, transcriptomics, proteomics, metabolomics, epigenomics, spatial omics, etc.) together with computational and mathematical approaches. The aim is to connect molecular biology with computation and show examples where symmetry or asymmetry is useful to understand biological complexity.

Possible topics are (but not limited to):

  • Symmetry and asymmetry in DNA, chromatin, and protein structures.
  • Symmetry and asymmetry in protein–DNA binding and gene regulation.
  • Computational approaches for studying protein folding and interactions.
  • Multi-omics integration to find patterns and organization.
  • Applications of artificial intelligence and deep learning to DNA and protein data, including large-scale omics datasets to find patterns.
  • Probabilistic and deep learning approaches for G protein-coupled receptors classification.

With this Special Issue, we want to place DNA and proteins in the center, as symbols of symmetry in life, and also as case studies for computational biology. We look forward to your submissions and the valuable insights that will emerge from this collection of research.

Dr. Raúl Cruz-Barbosa
Dr. Yalbi Balderas-Martínez
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • symmetry
  • asymmetry
  • DNA
  • RNA
  • GPCR’s
  • regulation
  • protein structure
  • biological systems
  • omics
  • bioinformatics
  • computational biology
  • systems biology
  • deep learning
  • artificial intelligence

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Published Papers

This special issue is now open for submission.
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