Plant Biology and Biotechnology: Focus on Genomics, Bioinformatics and AI
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Informatics".
Deadline for manuscript submissions: 20 May 2026 | Viewed by 4629
Special Issue Editors
Interests: computer genomics; bioinformatics; digital medicine (e-Health); gene expression regulation; ChIP-seq
Special Issues, Collections and Topics in MDPI journals
Interests: bioinformatics; plant non-coding RNAs; systems biology; AI
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the study of the molecular mechanisms of plant development and growth, response to environment is important for agrobiotechnology applications. The fast development of machine learning methods and AI (artificial intelligence) applications has revolutionized the methods of computer modeling in plant biotechnology. Sequencing and systems biology approaches offer a comprehensive view of plant growth from the molecular to cellular, organ, and population levels. Sequencing and microscopy technologies make it possible to model protein–protein and gene regulatory interactions in plant cells, providing a basis for better crop production and sustainability. Plant–pathogen interaction studies complement network modeling problems in plant bioinformatics. Note the recent conference Plantgen, 2025 in Novosibirsk, Russia (https://conf.icgbio.ru/plantgen2025/en/), on computer modeling in plants. Based on this rapidly expanding research area, we are pleased to announce this Special Issue on molecular informatics for plant biotechnology, continuing IJMS’s Special Issues on bioinformatics based on sequencing data analysis, entitled “Plant Biology and Biotechnology: Focus on Genomics, Bioinformatics and AI” (https://www.mdpi.com/journal/ijms/special_issues/PlantBi_Biology).
For this Special Issue, we aim to collate works focused on the following topics:
- computer model of gene expression regulation in plants;
- plant genomics and bioinformatics using AI methods;
- miRNA and molecular mechanisms of gene regulation in plants;
- digital phenotyping using machine learning tools;
- the sequencing of novel model organisms for biotechnology.
Prof. Dr. Yuriy L. Orlov
Prof. Dr. Ming Chen
Guest Editors
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Keywords
- gene expression regulation in plants
- ncRNA and gene editing in plants
- AI applications in plant bioinformatics
- molecular mechanisms of stress resistance in plants
- ncRNA and gene editing in plants
- plant–pathogen interactions
- systems biology and ecological networks for agrobiology
- next-generation sequencing in plants
- modeling of plant cell growth
- gene networks and pathway modeling in plants
- computer phenotyping of plants
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