This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...

Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) represents the successful combination of retentate chromatography and mass spectrometry, and this ...

Protein drugs feature significant advantages over small molecule therapeutics, including low toxicity, high specificity, and development speed. However, the quality control requirements are ...

Elucidating information about proteins present in biological samples is vital for scientists working in the field of life sciences. Whilst qualitative data can tell us which proteins are present in a ...

One third of cold-pressed rapeseed press cake consists of nutritionally valuable protein that could have many other uses besides animal feed. A researcher has developed enzyme-aided methods for ...

In a paper recently published in Nature Communications, the HUN-REN-ELTE Protein Modeling Research Group (Institute of Chemistry) has laid the foundations for a mathematical method, allowing the ...

The new cell-free protein crystallization (CFPC) method developed by Tokyo Tech includes direct protein crystallization and is a major headway in the field of structural biology. This technique will ...

An innovative machine learning approach has been shown to rapidly predict multiple protein configurations. A new paper presents the method that predicts the relative populations of protein ...