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Using Sequence Data to Predict the Self-Assembly of Supramolecular Collagen Structures

Offered By: Cambridge Materials via YouTube

Tags

Biomaterials Courses Molecular Modeling Courses

Course Description

Overview

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Explore the fascinating world of protein self-assembly in this Lennard-Jones Centre discussion group seminar by Dr Anna Puszkarska from AstraZeneca. Delve into the development of a model describing the mechanisms involved in collagen molecule staggering within fibrillar assemblies. Learn about a simple, parameter-free model for collagen fibril design that predicts self-assembling collagen fiber structures based on amino acid sequences of alpha-chain subunits. Discover a classification algorithm used to scan large datasets of collagen molecules and predict assembly periodicity. Gain insights into the potential for designing tailor-made, periodic collagen structures and novel biomimetic materials based on collagen-mimetic trimers. This 21-minute seminar, held on November 14, 2022, offers valuable knowledge for those interested in materials science, biochemistry, and biomimetic design.

Syllabus

Using sequence data to predict the self-assembly of supramolecular collagen structures


Taught by

Cambridge Materials

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