GAMA Miguel Angel
@miangoar.bsky.social
Biologist that navigate in the oceans of diversity through space-time
Protein evolution, metagenomics, AI/ML/DL
Website https://miangoaren.github.io/
Protein evolution, metagenomics, AI/ML/DL
Website https://miangoaren.github.io/
2/2 I’ve reviewed many courses, yet few give evolution the importance it deserves. They acknowledge it, but rarely go beyond algorithms like AlphaFold. Understanding evolution helps us understand how our models are biased and how to mitigate those biases.
February 1, 2026 at 5:57 PM
2/2 I’ve reviewed many courses, yet few give evolution the importance it deserves. They acknowledge it, but rarely go beyond algorithms like AlphaFold. Understanding evolution helps us understand how our models are biased and how to mitigate those biases.
Where is the preprint? 🧐
January 28, 2026 at 8:13 PM
Where is the preprint? 🧐
By the way, if anyone has recommendations on how to translate the classes (e.g., the audio) into English, they’re very welcome. My YouTube account doesn’t have the stats required to use automatic dubbing 😢
January 22, 2026 at 9:40 PM
By the way, if anyone has recommendations on how to translate the classes (e.g., the audio) into English, they’re very welcome. My YouTube account doesn’t have the stats required to use automatic dubbing 😢
3/3 I also created a repository with +300 tools, +70 databases and +130 courses related to protein science, bioinformatics and data science, aimed at facilitating learning. Once all classes have been published, the slides will be available for download :)
github.com/miangoar/AI-...
github.com/miangoar/AI-...
GitHub - miangoar/AI-driven-protein-design: Resources for learning AI-driven protein design
Resources for learning AI-driven protein design. Contribute to miangoar/AI-driven-protein-design development by creating an account on GitHub.
github.com
January 22, 2026 at 9:16 PM
3/3 I also created a repository with +300 tools, +70 databases and +130 courses related to protein science, bioinformatics and data science, aimed at facilitating learning. Once all classes have been published, the slides will be available for download :)
github.com/miangoar/AI-...
github.com/miangoar/AI-...
2/3 The course includes +800 freely available slides, and starting next monday, I will publish one video per day. For example, the AlphaFold lecture is ~7.4 hours long and includes 148 slides, in which I cover the architectures of AF1, AF2 and AF3 as well as their applications.
January 22, 2026 at 9:16 PM
2/3 The course includes +800 freely available slides, and starting next monday, I will publish one video per day. For example, the AlphaFold lecture is ~7.4 hours long and includes 148 slides, in which I cover the architectures of AF1, AF2 and AF3 as well as their applications.
😮 OMG! Congratulations Milot !
January 20, 2026 at 5:27 PM
😮 OMG! Congratulations Milot !
Even the five most abundant folds account for ~31% of all domains in the PDB. For more information on these superfolds check out
Protein superfamilies and domain superfolds
pubmed.ncbi.nlm.nih.gov/7990952/
Protein superfamilies and domain superfolds
pubmed.ncbi.nlm.nih.gov/7990952/
January 16, 2026 at 6:35 PM
Even the five most abundant folds account for ~31% of all domains in the PDB. For more information on these superfolds check out
Protein superfamilies and domain superfolds
pubmed.ncbi.nlm.nih.gov/7990952/
Protein superfamilies and domain superfolds
pubmed.ncbi.nlm.nih.gov/7990952/