In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The ...
David Baker, Nobel laureate and UW adjunct professor, gave a public lecture discussing the development and applications of ...
In 2023, scientists in the joint School of Engineering and School of Life Sciences Laboratory of Protein Design and Immunoengineering (LPDI), led by Bruno Correia, published in Nature a deep-learning ...
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 ...
Jia’s team developed a protocol to improve the screening of protein pockets. This involved identifying the pockets, removing ...
An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin introduces a breakthrough in protein simulation. The study, published in the ...
Recently, the research team of Prof. WANG Qian from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS) and Prof. BAI Fang from ShanghaiTech University ...
BENGALURU: Ever wondered what is the importance of protein cells and what they do? A team of researchers from the National ...
AZoLifeSciences on MSN
Deep learning–based codon optimization framework boosts protein expression in E coli
By combining Transformer-based sequence modeling with a novel conditional probability strategy, the approach overcomes ...
Seed round co-led by Elaia, Pfizer Ventures and Bpifrance Machine-learning platform enables signal peptide-informed discovery of small molecules that selectively inhibit protein secretion allowing for ...
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