Biological membranes are tricky to investigate. They are complex in terms of molecular
composition and structure, functional over a wide range of time scales, and characterized by …

Since high-resolution structural data are still scarce, different kinds of theoretical structure
prediction algorithms are of major importance in membrane protein biochemistry. But how …

Phototrophic Fe (II)-oxidizing bacteria couple the oxidation of ferrous iron [Fe (II)] to reductive
CO2 fixation by using light energy, but until recently, little has been understood about the …

The computational prediction of the subcellular localization of bacterial proteins is an
important step in genome annotation and in the search for novel vaccine or drug targets …

The cell wall of mycobacteria contains an unusual outer membrane of extremely low
permeability. While Escherichia coli uses more than 60 proteins to functionalize its outer …

We review the use of molecular dynamics (MD) simulation as a drug design tool in the
context of the role that the lipid membrane can play in drug action, ie, the interaction …

Abstract Motivation The PRED-TMBB method is based on Hidden Markov Models and is
capable of predicting the topology of beta-barrel outer membrane proteins and discriminate …

α-Helical membrane proteins are important for many biological functions. Due to
physicochemical constraints, the structures of membrane proteins differ from the structure of …

The trend of analyzing big data in artificial intelligence requires more scalable machine
learning algorithms, among which clustering is a fundamental and arguably the most widely …

Gram-negative bacteria harness multiple protein secretion systems and secrete a large
proportion of the proteome. Proteins can be exported to periplasmic space, integrated into …