Colby T. Ford
@colby.tuple.xyz
Computational Biologist & Cloud AI Architect. 3x Microsoft MVP Awardee in AI and Azure. Currently at Tuple and UNC Charlotte's CIPHER center. 🧬
https://colbyford.com | https://tuple.xyz
https://colbyford.com | https://tuple.xyz
#MoML @ MIT just kicked off. It’s cool to see so many people excited about #ML and #molecularmodeling. Let’s see what un-“folds” next!
Our 🦋 #peleke-1 paper was accepted this year and the poster is in spot #13.
#molecules #ai #llm #plm #bioinformatics #computationalbiology #biochemistry
Our 🦋 #peleke-1 paper was accepted this year and the poster is in spot #13.
#molecules #ai #llm #plm #bioinformatics #computationalbiology #biochemistry
October 22, 2025 at 2:09 PM
#MoML @ MIT just kicked off. It’s cool to see so many people excited about #ML and #molecularmodeling. Let’s see what un-“folds” next!
Our 🦋 #peleke-1 paper was accepted this year and the poster is in spot #13.
#molecules #ai #llm #plm #bioinformatics #computationalbiology #biochemistry
Our 🦋 #peleke-1 paper was accepted this year and the poster is in spot #13.
#molecules #ai #llm #plm #bioinformatics #computationalbiology #biochemistry
I've created a new plugin for #PyMOL (called PyMOLfold) that allows you to fold protein sequences right in the GUI. Simply select your model of choice (e.g., #ESM3, Boltz-1) and paste in your amino acid sequence.
github.com/colbyford/Py...
#ai #proteinfolding #alphafold
github.com/colbyford/Py...
#ai #proteinfolding #alphafold
December 13, 2024 at 1:46 PM
I've created a new plugin for #PyMOL (called PyMOLfold) that allows you to fold protein sequences right in the GUI. Simply select your model of choice (e.g., #ESM3, Boltz-1) and paste in your amino acid sequence.
github.com/colbyford/Py...
#ai #proteinfolding #alphafold
github.com/colbyford/Py...
#ai #proteinfolding #alphafold
I'm very excited to share this collaborative research project that included myself and researchers from MIT Lincoln Lab where we showcased the utility of high-performance computing to scale molecular modeling in SARS-CoV-2 research.
Read the preprint here: www.biorxiv.org/content/10.1...
Read the preprint here: www.biorxiv.org/content/10.1...
December 4, 2023 at 1:04 AM
I'm very excited to share this collaborative research project that included myself and researchers from MIT Lincoln Lab where we showcased the utility of high-performance computing to scale molecular modeling in SARS-CoV-2 research.
Read the preprint here: www.biorxiv.org/content/10.1...
Read the preprint here: www.biorxiv.org/content/10.1...