| URL: | https://permm.phar.umich.edu |
| Full name: | Permeability of Molecules across Membranes |
| Description: | PreMM is developed for quantitative analysis and visualization of passive translocation of bioactive molecules across lipid membranes. This database allows comparison of computationally and experimentally determined permeability coefficients for more than 500 compounds in different membrane systems. |
| Year founded: | 2019 |
| Last update: | |
| Version: | |
| Accessibility: |
Accessible
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| Country/Region: | United States |
| Data type: | |
| Data object: |
NA
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| Database category: | |
| Major species: |
NA
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| Keywords: |
| University/Institution: | University of Michigan |
| Address: | Department of Medicinal Chemistry, College of Pharmacy, University of Michigan, 428 Church Street, Ann Arbor, Michigan 48109-1065, United States |
| City: | |
| Province/State: | |
| Country/Region: | United States |
| Contact name (PI/Team): | Andrei L. Lomize |
| Contact email (PI/Helpdesk): | ude.hcimu@zmla |
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PerMM: A Web Tool and Database for Analysis of Passive Membrane Permeability and Translocation Pathways of Bioactive Molecules. [PMID: 31259547]
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/ . |