A good website keeping us all current for biological AI models.
There are not that many open models but the website lists their “openness” and their citation.
A good website keeping us all current for biological AI models.
There are not that many open models but the website lists their “openness” and their citation.
There are many AI tools for Cheminformatics and it takes a while to learn. Pat Walters has been practicing and teaching chemoinformatics and is a great resource. His GitHub page also has many tutorials. Worth a listen and read. https://github.com/PatWalters/practical_cheminformatics_tutorials
A very traditional problem solving method is the following: given a set of features or variables, can we understand the features to form a conclusion. This could be something like a treatment strategy wherein the strategy is built on a series of data and then ingesting the data helps make a conclusion. However, an equally…
There have been many AI models to predict the structure of proteins, especially antibodies. There are several key aspects to developing antibodies as drugs beyond binding to the target of interest. These are : thermostability, expression, aggregation, binding affinity, pharmacokinetics, polyreactivity and immunogenicity. There have been many models available such as IgLM, ProGen2, Chai-1, ESM2,…
Good publication to review material: CognArtive: Large Language Models for Automating Art Analysis and Decoding Aesthetic Elements at https://arxiv.org/html/2502.04353v1 And the wonderful visualization to analyze the data over the years that was derived from WikiArt. https://cognartive.github.io Autocritic: an open-source system that uses classic art theory to evaluate images and steer generative systems. It distills historical…
Knowledge graph is a way of representing information where entities/nodes (people, places, products, concepts) are linked by relationships/edges (works, creates, has ). It is a semantic network that captures facts and context. There is also an ontology that defines different types of node/edges and defines what types exist and how they relate. These are used…
A company called Profluent (profluent.bio) has been developing protein models that can be used for designing new proteins (https://www.nature.com/articles/s41587-022-01618-2), modeling of new CRISPR-Cas sequences (https://www.nature.com/articles/s41586-025-09298-z) and developing LLM for protein generation (https://www.biorxiv.org/content/10.1101/2025.11.12.688125v1.article-info). What is amazing is that they have open sourced all their models and Profluent-E1 is available in GitHub to download and use. (https://github.com/Profluent-AI/E1)…
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