Membranome 2.0: database for proteome-wide profiling of bitopic proteins and their dimers.

Motivation: Structural studies of TM domains of single-spanning (bitopic) membrane proteins are impeded by their instability, flexibility and heterogeneity. The new computational method TMDOCK allows reliable modeling of homodimers of transmembrane (TM) α-helices on a proteomic scale. Results: 3D models of 2129 parallel homodimers formed by TM α-helices of bitopic proteins from six evolutionarily distant organisms were modeled by TMDOCK, verified through experimental data available for nearly 600 proteins, and included in the Membranome database (v.2.0) along with related information to facilitate structural and evolutionary analysis of bitopic proteins. Availability and implementation: http://membranome.org. Contact: almz@umich.edu. Supplementary information: Supplementary data are available at Bioinformatics online.

PerMM: A Web Tool and Database for Analysis of Passive Membrane Permeability and Translocation Pathways of Bioactive Molecules.

The PerMM web server and database were developed for quantitative analysis and visualization of passive translocation of bioactive molecules across lipid membranes. The server is the first physics-based web tool that calculates membrane binding energies and permeability coefficients of diverse molecules through artificial and natural membranes (phospholipid bilayers, PAMPA-DS, blood-brain barrier, and Caco-2/MDCK cell membranes). It also visualizes the transmembrane translocation pathway as a sequence of translational and rotational positions of a permeant as it moves across the lipid bilayer, along with the corresponding changes in solvation energy. The server can be applied for prediction of permeability coefficients of compounds with diverse chemical scaffolds to facilitate selection and optimization of potential drug leads. The complementary PerMM database allows comparison of computationally and experimentally determined permeability coefficients for more than 500 compounds in different membrane systems. The website and database are freely accessible at https://permm.phar.umich.edu/ .