Google Inc.

Schering Corporation

Merck Sharp + Dohme Corp.

Alcon, Inc.

David Benjamin Belanger

M Arshad Siddiqui

Lianyun Zhao

Patrick J Curran

Panduranga Adulla P Reddy

Blake Hamann

Timothy J Guzi

William T Freeman

Dilip Krishnan

Forrester H Cole

Michael P Dwyer

Kamil Paruch

Peter G Klimko

Gerald Wayne Shipps, Jr

Umar Faruk Mansoor

Chaoyang Dai

Praveen K Tadikonda

Neng-Yang Shih

Joseph A Kozlowski

Zhaoning Zhu

Brian Alexander McKittrick

Wensheng Yu

Janeta Popovici-Muller

Dansu Li

Pauline C Ting

Brian J Lavey

Sunil Paliwal

Zhuyan Guo

Robert D Mazzola, Jr

Tin-Yau Chan

Vinay M Girijavallabhan

Peter Orth

Guowei Zhou

Matthew H Daniels

Andrew J McRiner

Kristin E Rosner

Zhaoyang Meng

Brandon Carter

Mehul F Patel

Henry A Vaccaro

Liping Yang

Gerald W Shipps

Duan Liu

Panduranga Adulla Reddy

Shuyi Tang

Yang Nan

Shing-Chun C Wong

Jamie Alexander Smith

Amit K Mandal

Angie R Angeles

Lalanthi Dilrukshi Vitharana

Lucy Colwell

Maxwell Bileschi

Theodore Sanderson

Drew Bryant

Mark Andrew DePristo

Andrew Mcriner

Matthew Hersh Daniels

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for predicting biological functions of proteins. In one aspect, a method comprises: obtaining data defining a sequence of amino acids in a protein; processing the data defining the sequence of amino acids in the protein using a neural network, wherein: the neural network is a convolutional neural network comprising one or more dilated convolutional layers; and the neural network is configured to process the data defining the sequence of amino acids in the protein in accordance with trained parameter values of the neural network to generate a neural network output characterizing at least one predicted biological function of the sequence of amino acids in the protein; and identifying the predicted biological function of the sequence of amino acids in the protein using the neural network output.

Predicting biological functions of proteins using dilated convolutional neural networks

The present disclosure provides systems and methods that perform face reconstruction based on an image of a face. In particular, one example system of the present disclosure combines a machine-learned image recognition model with a face modeler that uses a morphable model of a human's facial appearance. The image recognition model can be a deep learning model that generates an embedding in response to receipt of an image (e.g., an uncontrolled image of a face). The example system can further include a small, lightweight, translation model structurally positioned between the image recognition model and the face modeler. The translation model can be a machine-learned model that is trained to receive the embedding generated by the image recognition model and, in response, output a plurality of facial modeling parameter values usable by the face modeler to generate a model of the face.

Face reconstruction from a learned embedding

The present invention provides Pyrazolopyrimidine Compounds of Formula (I): wherein L, T, Z, U, V, W, R, R, R, R, and m are as defined herein, and pharmaceutically acceptable salts of such Pyrazolopyrimidine Compounds. The Pyrazolopyrimidine Compounds are useful in the treatment of cancer and other diseases or disorders wherein mTOR is deregulated.

Pyrazolo[1,5-a]pyrimidine compounds as mTOR inhibitors

Disclosed are compounds of the formula (I) wherein X is N or CH, and Y is N or CR. Also disclosed are methods of treating JNK and ERK mediated diseases using the compounds of formula 1.0. 

Substituted pyridines that are JNK inhibitors

This invention relates to compounds of the Formula (I): or a pharmaceutically acceptable salt, solvate or isomer thereof, which can be useful for the treatment of diseases or conditions mediated by MMPs, ADAMs, TACE, TNF-&#x3b1; or combinations thereof.

Compounds for the treatment of inflammatory disorders

In its many embodiments, the present invention provides a novel class of imidazo[1,2-a]pyrazine compounds as inhibitors of cyclin dependent kinases, methods of preparing such compounds, pharmaceutical compositions containing one or more such compounds, methods of preparing pharmaceutical formulations comprising one or more such compounds, and methods of treatment, prevention, inhibition, or amelioration of one or more diseases associated with the CDKs using such compounds or pharmaceutical compositions. An illustrative compound of the invention is shown below: 

Imidazopyrazines as cyclin dependent kinase inhibitors

In its many embodiments, the present invention provides a class of pyrazolo [1,5-a]pyrimidine compounds as inhibitors of cyclin dependent kinases (CDKs), methods of preparing such compounds, pharmaceutical compositions containing one or more such compounds, methods of preparing pharmaceutical formulations comprising one or more such compounds, and methods of treatment, prevention, inhibition, or amelioration of one or more diseases associated with the CDKs using such compounds or pharmaceutical compositions. An illustrative compound of the invention is shown below: 

Substituted pyrazolo[1,5-a]pyrimidines as protein kinase inhibitors

In its many embodiments, the present invention provides a novel class of imidazopyrazine compounds as inhibitors of protein and/or Aurora kinases, methods of preparing such compounds, pharmaceutical compositions including one or more such compounds, methods of preparing pharmaceutical formulations including one or more such compounds, and methods of treatment, prevention, inhibition, or amelioration of one or more diseases associated with the protein or Aurora kinases using such compounds or pharmaceutical compositions. An illustrative compound of the invention is shown below: 

Imidazopyrazines as protein kinase inhibitors

11,12-Oxidoarachidonic acid derivatives and methods of their use for treating dry eye are disclosed.

11,12-oxidoarachidonic acid derivatives and methods of their use in treating dry eye disorders

Growing community of inventors

Cambridge, MA, United States of America

David Benjamin Belanger