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← Existing protein structure prediction methods fall far short of atomic…
11 connected korrents · 8 moments from 15 Jul 2021 to 24 Sept 2026.
Everything filed under protein structure prediction
protein structure prediction
Everything filed under AI and science
AI and science
Everything filed under design
design Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Read this korrent: Existing protein structure prediction methods fall far short of atomic accuracy when no homologous structure is available. Existing protein structure prediction methods fall far short of atomic accuracy when no homologous structure is available. Last stated 5 years ago
15 Jul 2021
DH
Demis Hassabis — holds since 2021-07-15 — tap for who they are
Same subject: A narrow, highly accurate model can beat a general one inside its own domain, as AlphaFold did, and materials science and chip design are next. — tap to centre the map on it A narrow, highly accurate model can beat a general one inside its own domain, as AlphaFold did, and materials science and chip design are next. Last stated 3 months ago
30 Jul 2026
JD
Jeff Dean — holds since 2026-07-30 — tap for who they are
Same subject: Deep learning has effectively solved the problem of predicting a protein's 3D structure from its sequence. — tap to centre the map on it Deep learning has effectively solved the problem of predicting a protein's 3D structure from its sequence. Last stated a year ago
29 Jun 2025
EH
Elliot Hershberg — holds since 2025-06-29 — tap for who they are
Same subject: We have not scratched the surface of what classical, non-quantum computers can do; they can already go far further than anyone expected. — tap to centre the map on it We have not scratched the surface of what classical, non-quantum computers can do; they can already go far further than anyone expected. Last stated a year ago
23 Jul 2025
DH
Demis Hassabis — holds since 2025-07-23 — tap for who they are
Same subject: A computational method can regularly predict protein structures with atomic accuracy even when no similar structure is known. — tap to centre the map on it A computational method can regularly predict protein structures with atomic accuracy even when no similar structure is known. Last stated 5 years ago
15 Jul 2021
DH
Demis Hassabis — holds since 2021-07-15 — tap for who they are
Same subject: Contemporary physical and evolutionary structure-prediction approaches fall far short of experimental accuracy without a close experimental homologue, limiting biological utility. — tap to centre the map on it Contemporary physical and evolutionary structure-prediction approaches fall far short of experimental accuracy without a close experimental homologue, limiting biological utility. Last stated 5 years ago
15 Jul 2021
DH
Demis Hassabis — holds since 2021-07-15 — tap for who they are
Same subject: Accurate computational approaches are needed to close the protein structural coverage gap and enable large-scale structural bioinformatics. — tap to centre the map on it Accurate computational approaches are needed to close the protein structural coverage gap and enable large-scale structural bioinformatics. Last stated 5 years ago
15 Jul 2021
DH
Demis Hassabis — holds since 2021-07-15 — tap for who they are
Same subject: AI will not produce a big breakthrough in biological understanding any time soon, because biology has nothing like the clean, complete, high-quality data that made protein-structure prediction work. — tap to centre the map on it AI will not produce a big breakthrough in biological understanding any time soon, because biology has nothing like the clean, complete, high-quality data that made protein-structure prediction work. Last stated 2 years ago
19 Sept 2024
DL
Derek Lowe — holds since 2024-09-19 — tap for who they are
Same subject: Most proteins have no known function, so there is no pile of solid data for a model to learn most of cell biology from. — tap to centre the map on it Most proteins have no known function, so there is no pile of solid data for a model to learn most of cell biology from. Last stated 2 years ago
19 Sept 2024
DL
Derek Lowe — holds since 2024-09-19 — tap for who they are
Same subject: A $1,299, 100-gram pair of slip-on glasses seems far more enticing than a $3,699, 700-gram headset strapped to the face. — tap to centre the map on it A $1,299, 100-gram pair of slip-on glasses seems far more enticing than a $3,699, 700-gram headset strapped to the face. Last stated a month ago
24 Sept 2026
MS
M.G. Siegler — holds since 2026-09-24 — tap for who they are
Same subject: A baby-step version of eval-driven design is to sketch out 10 to 20 hero flows and run the feature or interaction through them to see where it falls apart. — tap to centre the map on it A baby-step version of eval-driven design is to sketch out 10 to 20 hero flows and run the feature or interaction through them to see where it falls apart. Last stated 2 months ago
9 Sept 2026
EB
Ed Bayes — holds since 2026-09-09 — tap for who they are
Same subject: A blank chat box is lazy: it violates the first rule of a good user experience, that it is obvious what you can do. — tap to centre the map on it A blank chat box is lazy: it violates the first rule of a good user experience, that it is obvious what you can do. Last stated a year ago
12 May 2025
JZ
Julie Zhuo — holds since 2025-05-12 — tap for who they are
At the centre
Existing protein structure prediction methods fall far short of atomic accuracy when no homologous structure is available.
Holds Read this korrent →
A narrow, highly accurate model can beat a general one inside its own domain, as AlphaFold did, and materials science and chip design are next.
Holds
Deep learning has effectively solved the problem of predicting a protein's 3D structure from its sequence.
Holds
We have not scratched the surface of what classical, non-quantum computers can do; they can already go far further than anyone expected.
Holds
A computational method can regularly predict protein structures with atomic accuracy even when no similar structure is known.
Holds
Contemporary physical and evolutionary structure-prediction approaches fall far short of experimental accuracy without a close experimental homologue, limiting biological utility.
Holds
Accurate computational approaches are needed to close the protein structural coverage gap and enable large-scale structural bioinformatics.
Holds
AI will not produce a big breakthrough in biological understanding any time soon, because biology has nothing like the clean, complete, high-quality data that made protein-structure prediction work.
Holds
Most proteins have no known function, so there is no pile of solid data for a model to learn most of cell biology from.
Holds
A $1,299, 100-gram pair of slip-on glasses seems far more enticing than a $3,699, 700-gram headset strapped to the face.
Holds
A baby-step version of eval-driven design is to sketch out 10 to 20 hero flows and run the feature or interaction through them to see where it falls apart.
Holds
A blank chat box is lazy: it violates the first rule of a good user experience, that it is obvious what you can do.
Holds