AI in drug discovery
AI in drug discovery (also called AI drug discovery) is the application of artificial intelligence, machine learning, deep learning, generative models, and natural language processing across the pharmaceutical…
Explore learning methods, model architectures, datasets, and practical applications.
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AI in drug discovery (also called AI drug discovery) is the application of artificial intelligence, machine learning, deep learning, generative models, and natural language processing across the pharmaceutical…
Bioinformatics is the branch of science that builds computational methods, databases, and software for storing, searching, and interpreting biological data, above all the sequences of DNA, RNA, and proteins…
Geometric deep learning (GDL) is an area of deep learning that designs neural networks around the structure and symmetries of their data.
A multiple sequence alignment (MSA) arranges three or more biological sequences, usually proteins, DNA or RNA
Protein design is the construction of new protein sequences that fold into an intended three-dimensional shape and perform an intended job, such as binding a chosen target, catalyzing a reaction, or assembling…
A protein language model (pLM) is a neural network trained on raw amino acid sequences using the same self-supervised objectives that power text models, with individual amino acids serving as tokens instead of…