New Publication: Predicting affinities for peptide transporters Philip Fowler, 29th January 201629th September 2018 PepT1 is a nutrient transporter found in the cells that line your small intestine. It is not only responsible for the uptake of di- and tai-peptides, and therefore much of your dietary proteins, but also the uptake of most β-lactam antibiotics. This serendipity ensures that we can take (many of) these important drugs orally. Our ultimate goal is to develop the capability to predict modifications to drug scaffolds that will improve or enable their uptake by PepT1, thereby improving their oral bioavailability. In this paper, just published online in the new journal Cell Chemical Biology (and free to download, thanks to the Wellcome Trust), we show that it is possible to predict how well a series of di- and tai-peptides bind to a bacterial homologue of PepT1 using a hierarchical approach that combines an end-point free energy method with thermodynamic integration. Since there is no structure of PepT1, we then tried our method on a homology model we have published in 2015. We found that method lost its predictive power. By studying a range of homology models of intermediate quality, we showed that it is highly likely an experimental structure of hPepT1 will be required for in silico accurate predictions of transport. This is the second paper that Firdaus Samsudin has published as part of his DPhil here in Oxford. Share this: Click to share on X (Opens in new window) X Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Mastodon (Opens in new window) Mastodon Related computing molecular dynamics publication research
antimicrobial resistance New preprint: predicting rifampicin resistance 16th August 202416th August 2024 In this preprint we train a series of machine learning models on protein mutations found… Share this: Click to share on X (Opens in new window) X Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Mastodon (Opens in new window) Mastodon Read More
computing GROMACS2018 on NVIDIA DGX-1s 27th September 201929th October 2019 HECBioSim advertised for proposals to use JADE, the new Tier-2 UK GPU high performance computer… Share this: Click to share on X (Opens in new window) X Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Mastodon (Opens in new window) Mastodon Read More
antimicrobial resistance New publication: Validating a bespoke 96-well plate for high-throughput drug susceptibility testing of M. tuberculosis 28th August 201829th September 2018 This paper, published in Antimicrobial Agents and Chemotherapy, determines the reproducibility and accuracy of minimum… Share this: Click to share on X (Opens in new window) X Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Mastodon (Opens in new window) Mastodon Read More