Image Credit: Page Lab
Research in Evolutionary and Computational Biology leverages large-scale genomic, transcriptomic and related data across diverse species to unlock the molecular mechanisms of life.
Biologists uncover an evolutionary trick to control gene expression that reverses the flow of genetic information from RNA splicing back to transcription.
Researchers have devised a faster, more efficient way to design custom peptides and perturb protein-protein interactions.
Researchers develop a method to investigate how bacteria respond to starvation and to identify which proteins bind to the "magic spot" - ppGpp.
New approach generates a wider variety of protein sequences optimized to bind to drug targets.
Designing synthetic proteins that can act as drugs for cancer or other diseases can be a tedious process: It generally involves creating a library of millions of proteins, then screening the library to find proteins that bind the correct target.
Thanks to continued advances in genetic sequencing, scientists have identified virtually every A, T, C, and G nucleotide in our genetic code. But to fully understand how the human genome encodes us, we need to go one step further, mapping the function of each base.