AZoLifeSciences on MSN1d
Machine Learning Applications in Predicting Protein StructuresAdvancements in machine learning are reshaping protein structure prediction, offering efficient tools that enhance drug ...
Zhang and his colleagues designed a generative AI model called ChromoGen to quickly ‘read’ DNA sequences and predict the ...
Total of non-dilutive $740,000 received to date from $1,000,000 grant, based on the continued development of 3D-printed plant-based fish and ...
Hugh O'Neill conducts plant cell wall research as part of the DOE Solvent Disruption of Biomass and Biomembranes Science ...
The new model, called BaseFold, enables more reliable 3D structure predictions for larger and more complex proteins and, according to the company, is “poised to greatly accelerate AI-based drug ...
Organoids were cultured from healthy donor iPSC sources and differentiated using the human iPSC-derived Cerebral Organoid ...
By utilizing NTT's IOWN*2 APN*3 technology and Morgenrot's virtualization technology, we will realize remote provision of GPU ...
Protein translocation is an essential, nano-scale dynamic process that facilitates the movement of proteins across cellular ...
New research uses AI to engineer enzymes with intricate active sites, expanding the possibilities for synthetic biocatalysts.
Researchers at the University of Virginia have created the first comprehensive protein-level atlas of brain development, ...
Endosomal recycling is a branch of intracellular membrane trafficking that retrieves endocytosed cargo proteins from early and late endosomes to prevent their degradatio ...
A research team co-led by scientists at the University of Arizona College of Medicine—Tucson found that an osteoporosis drug ...
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