The PIF/Harbinger-derived ADF-IL protein recruits KAT2B to drive its nuclear translocation and local chromatin acetylation, ...

Several faculty at the University of California, Davis, are among the recipients of presidential awards for excellence in STEM mentoring and research announced by the White House Jan. 13 and 14. The ...

Scientists at the Faculty of Medicine have now developed an innovative numbering system for the GAIN domain, a protein domain ...

A research team at KAIST has identified the core gene expression networks regulated by key proteins that fundamentally drive ...

Institute of Intelligent Machine, Hefei Institutes of Physical Science, Chinese Academy of Sciences, HeFei City, AnHui Province 230031, P. R. China University of Science and Technology of China, HeFei ...

tertiary structure, and often begins co-translationally. Protein folding requires chaperones and often involves stepwise establishment of regular secondary and supersecondary structures ...

Featured pricing is subject to change. We know the feeling — the feeling of waltzing down a supermarket aisle to find the best protein bars, but getting too overwhelmed that we just put our ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Many people become confused over the definitions of a primary vs secondary or second cancer. Primary cancer is defined as the original site (organ or tissue) where cancer began. In contrast, a second ...

Most nutrition experts recommend a protein-rich diet, so Business Insider asked dietitians to share their favorite high-protein foods for weight loss. Here's what they said. Peanut butter is full ...

Abstract: Understanding protein secondary structure is crucial for analyzing their functions and designing drugs. Accurately predicting its eight states is both vital and challenging. Despite numerous ...

QuantumFold integrates quantum circuits with classical deep learning to predict protein structures. Utilizing SidechainNet, it combines quantum feature encoding with LSTM layers for accurate ...