Variation in the gene encoding dysbindin-1 (i.e., dystrobrevin-binding protein 1: DTNBP1) has frequently been associated with schizophrenia. Several studies have also found that dysbindin-1 gene and protein expression are altered in two affected brain ar
Engel M, Hoffmann T, Wagner L, Wermann M, Heiser U, Kiefersauer R, Huber R, Bode W, Demuth H-U, Brandstetter H (2003) The crystal structure of dipeptidyl peptidase IV (CD26) reveals its functional regulation and enzymatic mechanism. Proc Natl Acad Sci 100:5063–5068 Article CAS Google...
similar function have similar amino acidcompositionand sequence. Although it is not yet possible to explain all of the functions of a protein from its amino acid sequence, established correlations between structure and function can be attributed to the properties of the amino acids that compose ...
Recent breakthroughs in AI coupled with the rapid accumulation of protein sequence and structure data have radically transformed computational protein design. New methods promise to escape the constraints of natural and laboratory evolution, accelerating the generation of proteins for applications in biotechno...
Protein aggregation is the process by which misfolded proteins adopt a conformation that cause its polymerization into aggregates and organized fibrils. Many neurodegenerative diseases (amyloidoses) are associated with protein aggregation, though smaller oligomeric forms of the misfolded (amyloidogenic) prote...
There are four levels of protein structure: Primary Structure: The primary structure of a protein is its amino acid sequence. This amino acid sequence is determined by the base sequence of the gene which codes for the protein. Secondary Structure: Secondary structures have α-helices and β-plea...
SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning Jonathan E. King, David Ryan Koes arxiv • github::sidechainnet TDC maintains a resource list that currently contains 22 tasks (and its datasets) related to small molecules and macromolecules, including PPI, DDI and so on...
Sequence-based methods can be implemented on almost any protein, whereas structure-based approaches are limited to proteins with known structures in the Protein Data Bank [9]. Sequence-based methods are based on finding relationships between the likelihood of a residue to be interfacial and its ...
tRNA molecules can perform this function because of their special structure. tRNA is made up of many nucleotides that bend into the shape of a cloverleaf. At its tail end, tRNA has an acceptor stem that attaches to a specific amino acid. At its head, tRNA has three nucleotides that make ...
Recent breakthroughs in highly accurate protein structure prediction using deep neural networks have made considerable progress in solving the structure prediction component of the ‘protein folding problem’. However, predicting detailed mechanisms of h