Researchers develop a method to investigate how bacteria respond to starvation and to identify which proteins bind to the "magic spot" - ppGpp.
Research in Regulatory Genomics and Proteomics at MIT deciphers the connection between the genetic blueprint and the resulting proteome through a wide range of methodologies, including machine learning, precision measurement, mathematical modeling, and network analysis.
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.
Study in worms reveals gene loss can lead to accumulation of waste products in cells.
Student: Amanda Kedaigle
Title: Integrating Omics Data: A new Software Tool and its Use in Implicating Therapeutic Targets in Huntington's Disease
New discovery suggest that all life may share a common design principle.
Student: Vincent Xue
Title: Modeling and Designing Bcl-2 Family Protein Interactions Using High-Throughput Interaction Data
Drug that targets a key cancer protein could combat leukemia and other types of cancer.
MIT biologists have designed a new peptide that can disrupt a key protein that many types of cancers, including some forms of lymphoma, leukemia, and breast cancer, need to survive.
The new peptide targets a protein called Mcl-1, which helps cancer cells avoid the cellular suicide that is usually induced by DNA damage. By blocking Mcl-1, the peptide can force cancer cells to undergo programmed cell death.