Dear Colleagues,

Recent breakthroughs in machine learning (ML) have redefined how we analyze and interpret molecular biology data. This Special Issue on “Machine Learning in Molecular Biology” solicits original research and reviews that develop or apply ML techniques to genomics, transcriptomcs, proteomics, metabolomics, structural biology, and systems biology. We encourage submissions on algorithmic innovations, deep learning architectures, interpretable models, and benchmarking studies that enhance reproducibility and biological relevance. Topics of interest include protein structure–function prediction, multi-omics integration, molecular interaction networks, ML-driven biomarker and drug target discovery. By uniting expertise from computational science and molecular biology, this Special Issue aims to accelerate the development of data-driven solutions to uncover fundamental mechanisms of life and enable translational applications.

Nguyen Quoc Khanh Le
Guest Editor