Michael Keiser

Nov 16, 2024 | flipboard.com | Leo Gendelev |Jack Taylor |Douglas Myers-Turnbull |Steven Chen |Michelle Arkin |Michael Keiser | +2 more

11 hours agoCNN — Laken Riley, 22, left home at 9:03 a.m. on February 22 with her iPhone for a February morning jog. She brought her smartwatch and noise-canceling AirPods along for the run. Just 25 minutes later, she was dead. Her house’s Ring camera footage captured Riley, wearing a ponytail and dressed in a …

Oct 3, 2024 | dx.doi.org | Brendan Hall |Michael Keiser |Padmanabha Das |John O

Journal of Chemical Information and ModelingCite this: J. Chem. Inf. Model. 2024, XXXX, XXXClick to copy citationCitation copied!. This publication is licensed under CC-BY-NC-ND 4.0 . You are free to share (copy and redistribute) this article in any medium or format within the parameters below:Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted.

Sep 14, 2024 | flipboard.com | William Connell |Kristle Garcia |Hani Goodarzi |Michael Keiser

Environment1 day agoGigantic Wave in Pacific Ocean Was The Most Extreme 'Rogue Wave' on RecordScienceAlert - Carly Cassella • 1dIn November of 2020, a freak wave came out of the blue, lifting a lonesome buoy off the coast of British Columbia 17.6 meters high (58 feet).

Mar 19, 2024 | biorxiv.org | Laura Shub |Wenjin Liu |Georgios Skiniotis |Michael Keiser

AbstractAt sufficiently high resolution, x-ray crystallography and cryogenic electron microscopy are capable of resolving small spherical map features corresponding to either water or ions. Correct classification of these sites provides crucial insight for understanding structure and function as well as guiding downstream design tasks, including structure-based drug discovery and de novo biomolecule design.

Feb 22, 2024 | dx.doi.org | Zachary J Gale-Day |Laura Shub |Kangway V. Chuang |Michael Keiser

Computational and machine learning (ML)-based approaches to predicting binding affinity are critical research directions in drug discovery. (1−4) A strong predictor of a ligand affinity is desirable both for hit identification in virtual screening and for computationally evaluating structure–activity relationships for hit expansion and hit-to-lead optimization.