Martin Pacesa
@martinpacesa
Structural biologist working on ๐ฅ๏ธ protein design, AI, and #CRISPR-Cas gene editing โ๏ธ๐งฌ Avid weirdness connoisseur ๐ฉ
ID: 1069570401972441088
03-12-2018 12:33:50
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Less than 5 days to go for our protein design competition at Adaptyv Bio! We just updated the competition page with a virtual leaderboard for the top 10 designs ranked according to iPAE. Will be updated daily till the submission deadline on Sunday Aug 18! Can you beat the
Very happy collaboration with Prof. Yan Yu group Yan Yu Group! We visualized rotation of V-ATPase using Janus nanoparticle and measured torque using the fluctuation theorem! Visualizing Single V-ATPase Rotation Using Janus Nanoparticles biorxiv.org/content/10.110โฆ
Lots of great suggestions! SmithLabUMBC mentioned sulfate. But then this was definitely not present in the buffer. But there was a sulfur containing chemical.. the DMSO solvent in which the ligand was dissolved in. Probably exchanged with the Chlorines..
Did AlphaFold solve the protein folding problem? ...Not yet! AF2 predicts static structures, usually the native state by default. However, we found AF2 can generate structures aligning well with known folding intermediates. biorxiv.org/content/10.110โฆ Alberto Perez UF Chemistry 1/n
Jiankui He Absolutely criminal, your lack of ethics and scientific rigour should preclude you from ever doing science again
Years ago, we discovered that missense mutations in homomeric proteins can induce their supramolecular assembly, as in the ๐ฝ๏ธ๐ - Question: how are such aberrant assemblies of *folded* proteins handled in a eukaryotic cell? The answer here: biorxiv.org/content/10.110โฆ + ๐งต below
Wow, this is really unexpected! Designs were done together with Lennart Nickel in Bruno Correia lab. Our pipeline will be fully open source and preprint online hopefully next week ๐
Kelvin Lau always @klausenhauser on โ๏ธ ๐ชก ๐ 5/153 (3%) is pretty good!! And the winning protocol from Martin Pacesa had success rate of 1/5 (20%) Prior work on EGFR had success rates far below 0.1% see: youtu.be/JpLFhnVARVw
The Protein Design Competition results are in! ๐งฌ 200 designs tested in our lab ๐ 90 protein designers from around the world ๐ 5 novel binders found ๐ฏ 2.5% hit rate (vs 0.01% on previous EGFR work) 1st place: Martin Pacesa & Lennart Nickel 2nd place: @khRRustamov
The top binder from the competition was EGFR_l138_s90285_mpnn2, designed by Martin Pacesa and Lennart Nickel. Martin and Lennart used a structural hallucination approach where an initial random sequence is continually optimized by backpropagation through the AlphaFold2 network