The University of Southampton
University of Southampton Institutional Repository
Warning ePrints Soton is experiencing an issue with some file downloads not being available. We are working hard to fix this. Please bear with us.

AI3SD Video: DNA: coding blocks for biocompatible assembly & disassembly

AI3SD Video: DNA: coding blocks for biocompatible assembly & disassembly
AI3SD Video: DNA: coding blocks for biocompatible assembly & disassembly
This talk forms part of the ML4MC (Machine Learning for Materials and Chemicals Series which has been organised as a joint venture between the Artificial Intelligence for Scientific Discovery Network+ (AI3SD) and the Directed Assembly Network. This series ran over summer 2021 and covers topics that encompass our overlapping Network interests of AI, Machine Learning, Artificial Photosynthesis, Biomimetic Materials, Crystal Design & Engineering, Materials, Molecules, Photochemistry, Photocatalysis and Supramolecular Chemistry. This video was the second talk in the ML4MC series and formed part of the session "Research Talks".
AI3SD Event, Directed Assembly, Materials, Chemicals, Machine Learning, Summer School, Training
Buurma, Niek
0ea82d6f-c7fe-4cf8-abd7-b92ab1b4df4e
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Hooper, Victoria
af1a99f1-7848-4d5c-a4b5-615888838d84
Buurma, Niek
0ea82d6f-c7fe-4cf8-abd7-b92ab1b4df4e
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Hooper, Victoria
af1a99f1-7848-4d5c-a4b5-615888838d84

Buurma, Niek (2021) AI3SD Video: DNA: coding blocks for biocompatible assembly & disassembly. Kanza, Samantha, Frey, Jeremy G. and Hooper, Victoria (eds.) Machine Learning for Materials & Chemicals Seminar Series 2021, , Southampton, United Kingdom. 06 Jul - 24 Aug 2021. (doi:10.5258/SOTON/P0129).

Record type: Conference or Workshop Item (Other)

Abstract

This talk forms part of the ML4MC (Machine Learning for Materials and Chemicals Series which has been organised as a joint venture between the Artificial Intelligence for Scientific Discovery Network+ (AI3SD) and the Directed Assembly Network. This series ran over summer 2021 and covers topics that encompass our overlapping Network interests of AI, Machine Learning, Artificial Photosynthesis, Biomimetic Materials, Crystal Design & Engineering, Materials, Molecules, Photochemistry, Photocatalysis and Supramolecular Chemistry. This video was the second talk in the ML4MC series and formed part of the session "Research Talks".

Video
ML4MC-NiekBuurma-200721 - Version of Record
Available under License Creative Commons Attribution.
Download (938MB)

More information

Published date: 20 July 2021
Additional Information: Niek grew up in the Netherlands, surrounded by water, and it is therefore not surprising that research in our group is aimed at understanding reactions and interactions in aqueous solutions. Our research is focused on two main areas. The first area is the development of conjugated DNA-binders with useful optoelectronic properties for application as sensitisers in molecular diagnostics and biosensors, for use in forensics, as well as for use in self-assembled nanobioelectronic systems. Our contributions to this area include the synthesis of new DNA-binding compounds and studies of their DNA-binding properties using a variety of biophysical techniques. To support these studies, we also develop data-analysis software, in particular software for the analysis of isothermal titration calorimetry (ITC) data for complex coupled equilibria. The second area of interest involves the study of organic reactions in aqueous solutions. We focus on 1) pharmaceutically relevant racemisation processes, 2) kinetic and mechanistic studies of surfactant-assisted metal-catalysed as well as nanoparticle-catalysed reactions, 3) reactivity studies using automated reaction optimisers based on artificial intelligence (AI), and 4) micellar medium effects. The group is involved in international collaborations as well as collaborations with industry.
Venue - Dates: Machine Learning for Materials & Chemicals Seminar Series 2021, , Southampton, United Kingdom, 2021-07-06 - 2021-08-24
Keywords: AI3SD Event, Directed Assembly, Materials, Chemicals, Machine Learning, Summer School, Training

Identifiers

Local EPrints ID: 450666
URI: http://eprints.soton.ac.uk/id/eprint/450666
PURE UUID: d66af3e8-1541-4e25-b8e2-5688048b10c6
ORCID for Samantha Kanza: ORCID iD orcid.org/0000-0002-4831-9489
ORCID for Jeremy G. Frey: ORCID iD orcid.org/0000-0003-0842-4302

Catalogue record

Date deposited: 05 Aug 2021 16:34
Last modified: 24 Aug 2021 01:55

Export record

Altmetrics

Contributors

Author: Niek Buurma
Editor: Samantha Kanza ORCID iD
Editor: Jeremy G. Frey ORCID iD
Editor: Victoria Hooper

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×