Deep Learning-Drives Insights into Protein-Protein Interactions

Protein-protein interactions are essential for life. Researchers used DeepMind’s AlphaFold 2 to develop a deep learning approach for predicting and modeling multi-protein interactions. The AF2Complex approach generates much more accurate structural models than previous methods for modeling a protein complex. As a proof of concept, the researchers used AF2Complex to virtually screen key proteins in E. coli, discovering unexpected protein-protein interactions.

Mount Sinai Researchers Awarded $12 Million NIH Grant to Create a Center to Unravel Novel Causes of Food Allergy and Atopic Dermatitis

Mount Sinai researchers have been awarded $12 million over five years by the National Institutes of Health to create a center to elucidate novel causes of, and contributing factors to, food allergies and atopic dermatitis. The Systems Biology of Early Atopy (SunBEAm) Analysis and Bioinformatics Center intends to develop a better understanding of allergy development. The center will apply systems biology to identify early-life markers of risk for food allergies and atopic dermatitis (also known as eczema), as well as biological pathways underlying these common conditions, through the profiling and analysis of longitudinal multi-omics data from a multi-center pre-birth cohort of 2,500 children.

Lowering the temperature on a hot topic: a climate change primer

Earth Day presents a good opportunity to help clear up some essential questions about climate change; what it is, what is responsible and how we know it’s real.

Crippling Life Support for SARS-CoV-2 Through Synthetic Lethality

Significance of paperThis paper authored by a group of scientists from the Center for Global Infectious Disease Research at Seattle Children’s Research Institute presents a promising concept for disrupting the life cycle of a virus using synthetic lethality. When viruses infect…

New Research Reveals Regulatory Features Of The Maize Genome During Early Reproductive Development

A team of researchers led by Andrea Eveland, Ph.D., assistant member, Donald Danforth Plant Science Center, has mapped out the non-coding, ‘functional’ genome in maize during an early developmental window critical to formation of pollen-bearing tassels and grain-bearing ears.

DOE Office of Science honors two early career Lab scientists

Two scientists from Lawrence Livermore National Laboratory (LLNL) are recipients of the Department of Energy’s (DOE) Office of Science Early Career Research Program award. Federica Coppari and Erin Nuccio are among 76 scientists nationwide selected for the recognition. Under the program, typical awards for DOE national laboratory staff are $500,000 per year for five years.

Researchers reveal new understandings of synthetic gene circuits

Recent discoveries by two research teams in the Ira A. Fulton Schools of Engineering at Arizona State University are advancing the field of synthetic biology. Results from a research collaboration between the lab groups of Assistant Professor Xiaojun Tian and Associate Professor have revealed novel ways that engineered gene circuits interact with biological host cells.

While Promoting Diseases Like Cancer, These Enzymes Also Cannibalize Each Other

In diseases like cancer, atherosclerosis, and sickle cell anemia, cathepsins promote their propagation. Drug trials to inhibit these enzymes have failed due to baffling side effects. Now a new study examines cathepsins in systems to remove some of the bafflement.

Six Berkeley Lab Scientists Named AAAS Fellows

Six scientists from the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) have been named Fellows of the American Association for the Advancement of Science (AAAS).