Publication about history of Rosetta

Author	Message
[VENETO] boboviz Send message Joined: 1 Dec 05 Posts: 1994 Credit: 9,607,457 RAC: 8,965	Message 98292 - Posted: 23 Jul 2020, 10:26:52 UTC Rosetta and the journey to predict proteins’ structures, 20 years on Interesting the conclusion: The return of Rosetta to the top of the competition (CASP) will require extensive improvements for contact map prediction that are likely to rely on deep learning technology. If Rosetta choses that route, the formidable processing power that Rosetta@Home provides could be the key of its success: instead of generating tremendous number of decoys, it could provide the means of training the most complex machine learning based predictors. ID: 98292 · Rating: 0 · rate: / Reply Quote

[VENETO] boboviz Send message Joined: 1 Dec 05 Posts: 1994 Credit: 9,607,457 RAC: 8,965	Message 98306 - Posted: 24 Jul 2020, 9:48:01 UTC - in response to Message 98292. And yesterday.... "De novo protein design by deep network hallucination" (preprint) ID: 98306 · Rating: 0 · rate: / Reply Quote

Jim1348 Send message Joined: 19 Jan 06 Posts: 881 Credit: 52,257,545 RAC: 0	Message 98312 - Posted: 24 Jul 2020, 18:51:09 UTC - in response to Message 98292. If Rosetta choses that route, the formidable processing power that Rosetta@Home provides could be the key of its success: instead of generating tremendous number of decoys, it could provide the means of training the most complex machine learning based predictors. I have thought for some time that distributed computing is ideally suited for training the AI machines, since it can be done off-line from the actual predictions, and latency is not an issue. The first project I know of to use it is Cosmology, and then GPUGrid had a CPU "quantum chemistry" project for a while. I think QuChemPedIA uses it in some form also. And it would seem that Rosetta could start with a ground-up design, maximizing the use of extensions and parallel processing. It would be a whole new ball game for us. ID: 98312 · Rating: 0 · rate: / Reply Quote

[VENETO] boboviz Send message Joined: 1 Dec 05 Posts: 1994 Credit: 9,607,457 RAC: 8,965	Message 98314 - Posted: 24 Jul 2020, 20:49:22 UTC - in response to Message 98312. And it would seem that Rosetta could start with a ground-up design, maximizing the use of extensions and parallel processing. It would be a whole new ball game for us. Rosetta can do both: ML and decoys! P.S There is a new ML player: MLC@Home!! ID: 98314 · Rating: 0 · rate: / Reply Quote

mikey Send message Joined: 5 Jan 06 Posts: 1895 Credit: 9,166,634 RAC: 4,051	Message 98346 - Posted: 26 Jul 2020, 12:14:24 UTC - in response to Message 98314. And it would seem that Rosetta could start with a ground-up design, maximizing the use of extensions and parallel processing. It would be a whole new ball game for us. Rosetta can do both: ML and decoys! P.S There is a new ML player: MLC@Home!! I just got one it thinks it will take around 7+ hours and has a 2 day deadline. ID: 98346 · Rating: 0 · rate: / Reply Quote

mikey Send message Joined: 5 Jan 06 Posts: 1895 Credit: 9,166,634 RAC: 4,051	Message 98351 - Posted: 27 Jul 2020, 0:41:45 UTC - in response to Message 98346. And it would seem that Rosetta could start with a ground-up design, maximizing the use of extensions and parallel processing. It would be a whole new ball game for us. Rosetta can do both: ML and decoys! P.S There is a new ML player: MLC@Home!! I just got one it thinks it will take around 7+ hours and has a 2 day deadline. After running a dozen or so the time is now down to just under 1 hour still with the 2 day deadline and I get 260 credits per task. ID: 98351 · Rating: 0 · rate: / Reply Quote