AI in Bioinformatics

Dear Colleagues,

The convergence of artificial intelligence (AI) and bioinformatics is revolutionizing biological research and healthcare. From decoding complex genomic sequences and predicting protein structures to accelerating drug discovery and enabling personalized medicine, AI-driven methodologies are pushing the boundaries of what is possible. This Special Issue aims to capture the latest groundbreaking research at the intersection of these two dynamic fields. We seek to provide a platform for the dissemination of innovative algorithms, computational models, and practical applications that address significant challenges in biology and medicine.

We invite the submission of high-quality original research articles and comprehensive review articles that explore the application of AI in advancing bioinformatics. Topics of interest include, but are not limited to, the following:

• AI/ML for Genomic and Omics Data Analysis:Deep learning for sequence annotation, variant calling, multi-omics data integration, and epigenomics.
• Predictive Modeling for Protein Structure and Function:AI approaches to protein folding prediction (e.g., AlphaFold-like models), protein–protein interaction prediction, and function annotation.
• AI in Drug Discovery and Repurposing:Virtual screening, prediction of drug–target interactions, de novo molecular design, and toxicity assessment using machine learning (ML).
• AI for Biomedical Image Analysis:Analysis of medical and biological images (e.g., histopathology, cellular imaging) for diagnosis, segmentation, and classification.
• AI in Clinical Bioinformatics and Personalized Medicine:Development of predictive models for disease diagnosis, prognosis, patient stratification, and treatment recommendation systems.
• Explainable AI (XAI) in Bioinformatics:Methods to interpret and explain the predictions of complex AI models in biological contexts to build trust and extract novel insights.
• Large Language Models (LLMs) for Biological Data:Applications of LLMs to biological sequences, scientific literature mining, and knowledge integration.
• Data Mining and Knowledge Discovery:Using AI to uncover novel patterns, biomarkers, and therapeutic targets from large-scale biological databases.

Dr. Mateo Sokač
Guest Editor

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. Computers 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 1800 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.

• artificial intelligence
• AI
• bioinformatics
• computational biology
• machine learning