US 12,190,509 B2
Sensing of protein-protein interaction
Yuri Iozzo, Oxford, MA (US); Yu Qiu, Wellesley, MA (US); and Yanfeng Zhou, Boxborough, MA (US)
Assigned to Sanofi, Paris (FR)
Filed by Sanofi, Paris (FR)
Filed on Apr. 26, 2022, as Appl. No. 17/729,735.
Claims priority of provisional application 63/180,990, filed on Apr. 28, 2021.
Prior Publication US 2022/0351375 A1, Nov. 3, 2022
Int. Cl. G06T 7/00 (2017.01); G06T 11/60 (2006.01); G06V 10/22 (2022.01); G06V 20/69 (2022.01)
CPC G06T 7/0012 (2013.01) [G06T 11/60 (2013.01); G06V 10/22 (2022.01); G06V 20/69 (2022.01); G06T 2207/10056 (2013.01); G06T 2207/20092 (2013.01); G06T 2210/12 (2013.01)] 32 Claims
OG exemplary drawing
 
1. A method for sensing protein-protein complex interactions comprises:
accessing a composite image that comprises a plurality of complex images of samples of a protein-protein complex comprising a first protein and a second protein;
masking the composite image to generate a masked portion and an unmasked portion;
accessing a first three-dimensional (3D) shape of the first protein and a second 3D shape of the second protein;
accessing a plurality of docking models that each define a candidate pose-pair;
for each docking model, applying the first 3D shape, the second 3D shape, and the candidate pose-pair to generate, for the docking model, a corresponding fitment score that describes a goodness-of-fit between the pose-pair and the docking model; and
selecting one of the docking models as a sensed model for the protein-protein complex based on the fitment scores.