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So far BioExcel Team has created 279 blog entries.

Webinar: Computationally designing therapeutic antibodies – combining immune repertoire data and structural information (2021-11-09)

Charlotte Deane, head of the Oxford Protein Informatics Group, will give describe sequence and structural databases and tools developed by her group and the therapeutics research and development these enable.

2023-06-19T12:16:02+01:00October 25, 2021|Webinars|Comments Off on Webinar: Computationally designing therapeutic antibodies – combining immune repertoire data and structural information (2021-11-09)

Markov state models of proton- and pore-dependent activation in a pentameric ligand-gated ion channel

Here, we used enhanced sampling to simulate the pH-gated channel GLIC, and construct Markov state models (MSMs) of gating. Consistent with new functional recordings, we report in oocytes, our analysis revealed differential effects of protonation and mutation on free-energy wells.

2022-11-03T09:58:05+01:00October 15, 2021|Publications|Comments Off on Markov state models of proton- and pore-dependent activation in a pentameric ligand-gated ion channel

MetaScore: A novel machine-learning based approach to improve traditional scoring functions for scoring protein-protein docking conformations

We present here MetaScore, a new machine-learning based approach to improve the scoring of docked conformations. MetaScore utilizes a random forest (RF) classifier trained to distinguish near-native from non-native conformations using a rich set of features extracted from the respective protein-protein interfaces. These include physico-chemical properties, energy terms, interaction propensity-based features, geometric properties, interface topology features, evolutionary conservation and also scores produced by traditional scoring functions (SFs).

2022-11-03T09:58:05+01:00October 9, 2021|Publications|Comments Off on MetaScore: A novel machine-learning based approach to improve traditional scoring functions for scoring protein-protein docking conformations
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