Feature Papers in BioChem, 2nd Edition

A special issue of BioChem (ISSN 2673-6411).

Deadline for manuscript submissions: 31 December 2025 | Viewed by 992

Special Issue Editors


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Guest Editor
School of Pharmacy, Shanghai Jiaotong University, Shanghai, China
Interests: computational chemistry and biology; computational immunology; protein-protein interaction; protein aggregation diseases; neurodegenerative disease; Alzheimer’s disease; cancer and inflammation; antigen
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Guest Editor
1. Faculdade de Ciências e Tecnologia (FCT), Campus de Gambelas, Universidade do Algarve, 8005-139 Faro, Portugal
2. CCMAR, Campus de Gambelas, Universidade do Algarve, 8005-139 Faro, Portugal
Interests: metals in molecular sciences; decavanadate biochemistry; polyoxometalates (POMs) interactions with proteins; POMs applications in environment and health
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As the Associate Editor-in-Chief of the esteemed journal BioChem (ISSN 2673-6411), I am excited to announce the launch of an inaugural Special Issue entitled "Feature Papers in BioChem, 1st Edition". This Special Issue aims to showcase exceptional research in the diverse and interconnected fields of molecular biology, cell biology, structural biology, nucleic acid biology, chemical biology, synthetic biology, disease biology, biophysics, metallomics (or inorganic biochemistry), and theoretical biochemistry. As an international and interdisciplinary open access journal, BioChem is dedicated to providing a platform for the publication of high-quality reviews, research articles, communications, and letters that contribute to the advancement of scientific knowledge.

At BioChem, our primary objective is to encourage scientists to present their experimental and theoretical research in meticulous detail. We believe that the comprehensive reporting of research methodologies, results, and interpretations is crucial for advancing scientific research and enabling reproducibility. By emphasizing the importance of detailed reporting, we aim to foster a culture of transparency and open science within the scientific community.

To ensure the publication of exceptional research, all submitted papers will undergo a rigorous evaluation process. Our team of knowledgeable Editors will conduct an initial assessment to determine the suitability of submissions for the Special Issue. Following this, the selected papers will be subjected to a thorough and unbiased peer-review process, performed by experts in the respective fields. This rigorous peer-review process aims to maintain the highest standards of scientific integrity and ensure that only significant and impactful research is published in BioChem.

By launching this Special Issue, we endeavor to provide a platform for researchers to disseminate their groundbreaking discoveries and innovative methodologies. This Special Issue will serve as a catalyst for scientific collaboration and knowledge exchange among experts from various disciplines. It will enable scientists to stay updated on the latest advancements in biochemistry and related fields while also inspiring future investigations.

As an international open access journal, BioChem ensures that published research is freely accessible to a global audience. This accessibility facilitates widespread dissemination, allowing researchers, educators, students, and policymakers to benefit from the latest findings and advancements in biochemistry. Moreover, the journal's interdisciplinary nature promotes the cross-pollination of ideas and encourages the development of novel approaches and solutions to scientific challenges.

In conclusion, this Special Issue, entitled "Feature Papers in BioChem, 2nd Edition" represents an exciting opportunity for researchers to contribute to scientific literature in the fields of molecular biology, cell biology, structural biology, nucleic acid biology, chemical biology, synthetic biology, disease biology, biophysics, and theoretical biochemistry. By emphasizing comprehensive reporting and rigorous peer review, BioChem ensures the publication of impactful and high-quality research. We invite scientists from around the world to submit their work to this Special Issue and join us in advancing the field biochemistry and related disciplines.

Prof. Dr. Buyong Ma
Prof. Dr. Manuel Aureliano
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 100 words) can be sent to the Editorial Office for announcement on this website.

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. BioChem is an international peer-reviewed open access quarterly 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 1000 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

  • molecular biology
  • molecular basis of biological processes
  • structural biology
  • gene and protein structure and expression
  • folding of biomolecules
  • biochemistry
  • metallomics (or inorganic biochemistry) chemical biology
  • synthetic biology
  • protein biosynthesis
  • membrane function and post-translational modification
  • disease biology
  • drugs and pharmaceutics
  • cell biology
  • chemical, physical, mechanistic, and/or structural basis of biological or cell function
  • cells
  • nucleic acid biology
  • theoretical biochemistry
  • advances in biochemical, biophysical, and molecular methodologies, as well as imaging techniques and data analysis

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Published Papers (1 paper)

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15 pages, 740 KiB  
Review
Advances in Personalized Cancer Vaccine Development: AI Applications from Neoantigen Discovery to mRNA Formulation
by Hyunseung Kong
BioChem 2025, 5(2), 5; https://doi.org/10.3390/biochem5020005 - 31 Mar 2025
Viewed by 697
Abstract
Personalized cancer vaccines are a promising immunotherapy targeting patient-specific tumor neoantigens, yet their design and efficacy remain challenging. Recent advances in artificial intelligence (AI) provide powerful tools to enhance multiple stages of cancer vaccine development. This review systematically evaluates AI applications in personalized [...] Read more.
Personalized cancer vaccines are a promising immunotherapy targeting patient-specific tumor neoantigens, yet their design and efficacy remain challenging. Recent advances in artificial intelligence (AI) provide powerful tools to enhance multiple stages of cancer vaccine development. This review systematically evaluates AI applications in personalized cancer vaccine research over the past five years, focusing on four key areas: neoantigen discovery, codon optimization, untranslated region (UTR) sequence generation, and mRNA vaccine design. We examine AI model architectures (e.g., neural networks), datasets (from omics to high-throughput assays), and outcomes in improving vaccine development. In neoantigen discovery, machine learning and deep learning models integrate peptide–MHC binding, antigen processing, and T cell receptor recognition to enhance immunogenic neoantigen identification. For sequence optimization, deep learning models for codon and UTR design improve protein expression and mRNA stability beyond traditional methods. AI-driven strategies also optimize mRNA vaccine constructs and formulations, including secondary structures and nanoparticle delivery systems. We discuss how these AI approaches converge to streamline effective personalized vaccine development, while addressing challenges such as data scarcity, tumor heterogeneity, and model interpretability. By leveraging AI innovations, the future of personalized cancer immunotherapy may see unprecedented improvements in both design efficiency and clinical effectiveness. Full article
(This article belongs to the Special Issue Feature Papers in BioChem, 2nd Edition)
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