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Machine Learning Applications in Predicting Protein Structures
Advancements in machine learning are reshaping protein structure prediction, offering efficient tools that enhance drug ...
Molecular Mystery Solved: “Useless” RNA Segments Actually Help Cells Fight Stress
This study is the first to demonstrate that certain tRNA introns influence gene expression. Scientists have discovered that ...
News Medical1d
Scientists pinpoint metabolic failure as the cause of muscle loss in aging
A multi-omics study reveals that impaired branched-chain amino acid (BCAA) catabolism is a key driver of sarcopenia, ...
The Chronicle2d
Duke researcher helps develop large language model to predict antibody structures, support disease prevention
A study published in December by Duke professor Rohit Singh and his team proposes a new computational model called antibody ...
Yale Scientists Reprogram Genetic Code To Create Revolutionary Synthetic Organism
Yale researchers have created "Ochre," a genomically recoded organism that enables the production of synthetic proteins with ...
Enzymes are the engines of life—machine learning could help scientists design new ones
Enzymes are molecular machines that carry out the chemical reactions that sustain all life, an ability that has captured the ...
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How to calculate the optimal amount of protein for men
We all know protein for men is important, but how much protein do you need to eat? Find out here. The post How to calculate the optimal amount of protein for men appeared first on The Manual.
techexplorist4d
AI model deciphers protein code that tells them where to go
AlphaFold, an AI tool, predicts protein structure from amino acid sequences. MIT researchers, led by Professor Richard Young, have developed ProtGPS, a model that predicts where proteins localize ...
Science Daily7d
Disruption of a single amino acid in a cellular protein makes breast cancer cells behave like stem cells
Changes to the intermediate filament (IF) protein, vimentin, were found to promote tumor growth by increasing cancer stemness in an oestrogen independent manner. Targeting vimentin and/or the long ...
Data-driven techniques enhance understanding of cell division
Research from Umeå University paves the way for a quantitative data analysis method to study the cell division process in ...
Frontiers15d
Sequence-structure based prediction of pathogenicity for amino acid substitutions in proteins associated with primary immunodeficiencies
A key aspect of PID diagnosis is identifying specific amino acid substitutions in the proteins related with heritable diseases. In this study, we have developed classification ...