Protein Sequencing with Artificial Intelligence: Machine Learning

Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries

Protein–DNA/RNA interactions: Machine intelligence tools and approaches in the era of artificial intelligence and big data - Cui - 2022 - PROTEOMICS - Wiley Online Library

Artificial Intelligence in Molecular Medicine

Enabling Artificial Intelligence for Genome Sequence Analysis of COVID-19 and Alike Viruses

A deep-learning framework for multi-level peptide–protein interaction prediction

Generative Biology: Designing Biologic Medicines with Greater Speed and Success

Artificial Intelligence for Synthetic Biology, May 2022

Researchers identify new medicines using interpretable deep learning predictions

ProteinMPNN excels at creating new proteins – Baker Lab

The applications of deep learning algorithms on in silico druggable proteins identification - ScienceDirect

The Era of Machine Learning for Protein Design, Summarized in Four Key Methods, by LucianoSphere (Luciano Abriata, PhD)

Transformer-based deep learning for predicting protein properties in the life sciences