Nature

Structural prediction of protein models using distance restraints derived from cross-linking mass spectrometry data

Proteins are large, complex molecules that have many critical roles in cells, thereby determining the structure, characteristics and functions of tissues and organs. Information regarding the ...
Purdue University

Deep learning, 3D technology to improve structure modeling for protein interactions, create better drugs

WEST LAFAYETTE, Ind. – Proteins are often called the working molecules of the human body. A typical body has more than 20,000 different types of proteins, each of which are involved in many functions ...
JSTOR Daily

Structural dynamics of the human COP9 signalosome revealed by cross-linking mass spectrometry and integrative modeling

Craig Gutierrez, Ilan E. Chemmama, Haibin Mao, Clinton Yu, Ignacia Echeverria, Sarah A. Block, Scott D. Rychnovsky, Ning Zheng, Andrej Sali, Lan Huang Proceedings of the National Academy of Sciences ...

Sebastian Stroeller Frameworks Introduces Active Waiting and MAP Model for Readiness-Based Behavioral Change

The Active Waiting Framework, the MAP Model, and NeuroBond are documented as working papers and structural concept drafts on Zenodo and Figshare. All versions, including updates, conceptual ...
Purdue University

Deep learning, 3D technology to improve structure modeling for protein interactions, create better drugs

WEST LAFAYETTE, Ind. – Proteins are often called the working molecules of the human body. A typical body has more than 20,000 different types of proteins, each of which are involved in many functions ...
Science Daily

Deep learning, 3D technology to improve structure modeling, create better drugs

Researchers have designed a novel approach to use deep learning to better understand how proteins interact in the body - paving the way to producing accurate structure models of protein interactions ...