Cornell researchers have found a new and potentially more accurate way to see what proteins are doing inside living cells - using the cells' own components as built-in sensors.

Learn how cell-free protein synthesis helps researchers overcome the challenges of traditional membrane protein production ...

By combining artificial intelligence with automated robotics and synthetic biology, researchers at the University of Illinois ...

Review Article Published: December 2007 Predicting protein function from sequence and structure David Lee, Oliver Redfern & Christine Orengo Nature Reviews Molecular Cell Biology 8, 995–1005 ...

External perturbations, by forcing cells to adapt to a new environment, often elicit large‐scale changes in gene expression resulting in an altered proteome that improves the cell's fitness in the new ...

Star 0 Code Issues Pull requests [Under Review] Implementation of Recursive Cleaning for Large-scale Protein Data via Multimodal Learning machine-learning computational-biology data-cleaning ...

Figure 3: CisA is a single-pass membrane protein predicted to oligomerize. a. Alphafold3 model of CisA colored in pLDDT values. CisA is predicted to contain a largely unstructured N-terminal domain, a ...

There are hundreds of diseases—ranging from emphysema and cystic fibrosis to Alzheimer's disease—that can result from errors in cellular protein production.

Epitope-tagging is an effective tool to facilitate protein enrichment from crude cell extracts. Traditionally, N- or C-terminal fused tags are employed, which, however, can perturb protein function.

Protein-Protein Interaction (PPI) Network Analysis PPI is a major component of the cellular biochemical response network. Evaluation PPI network and its functions is essential goal for understanding ...

Self-assembled peptides are promising templates for the design of inhibitors of protein–protein interactions (PPIs) because they can be endowed with affinity- and selectivity-defining amino acids ...