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Cambridge Cheminformatics Newsletter, 17 September 2022

Dear All,

I would like to circulate some current Cheminformatics- (and related) news to everyone as follows.

In particular I would like to point out the 3rd In Silico Toxicology Conference on 29 September 2022, which will be held fully virtually (http://drugdiscovery.net/tox2022/) and which is free to attend and open to all. We already have more than 600 people registered but a few places remain and we hope to add live streaming on Youtube beyond that – please distribute to your contacts who might be interested as well, and hope to see you there!

Our next Berlin Digital Science for Drug Discovery Seminar has now also been scheduled, for 19 October 2022, and the programme is available as well – please see http://digidrug.net/ for details, and we equally welcome you to join us at this event.

If you have information from your side for distribution please just let me know, and I am very happy to include it on the next occasion.

So here we go…

Events

27 September 2022
Molecule2Medicine Webinar Series: AI in Drug Discovery: Successes, Opportunities and Pitfalls
Virtual Event
https://cyclicarx.com/m2m-series

29 September 2022
3rd In Silico Toxicology Conference
Virtual Event
http://drugdiscovery.net/tox2022

18 October 2022
Open Targets: Pharmacogenomics in Drug Discovery Online Workshop
Virtual Event
https://payments.liv.ac.uk/conferences-and-events/events-at-liverpool/school-of-health-sciences/open-targets-pharmacogenomics-in-drug-discovery-online-workshop

19 October 2022
Digital Science for Drug Discovery Meeting
Virtual Event
http://digidrug.net/

24 October 2022
Broad Institute Machine Learning in Drug Discovery Symposium
Hybrid Event – Cambridge, MA and Online
https://www.eventbrite.com/e/broad-institute-machine-learning-in-drug-discovery-symposium-tickets-342431230027

27 October 2022
Netherlands Society on Biomolecular Modelling Fall Meeting
Brussels, Belgium
https://www.eventbrite.com/e/netherlands-society-on-biomolecular-modelling-fall-meeting-tickets-370410637187

31 October/1 November 2022
PhysChem 2022 (PCF2022) – New Modalities: Therapeutic Opportunities for Challenging Biological Targets
Basel, Switzerland
http://physchem.org.uk/pcf2022/pcf2022.html

14-16 November 2022
KNIME Fall Summit 2022
Hybrid Event – Austin, TX and Online
https://hopin.com/events/knime-fall-summit-2022-55486201-0652-4fdb-afbc-a0a065d6e94e/registration

28 November 2022
Critical Assessment of Molecular Machine Learning Workshop
Virtual Event
https://moleculediscovery.github.io/workshop2022/

Jobs

Group Leader – Computational Chemistry
Cancer Research UK (CRUK)
Cambridge, UK
https://www.linkedin.com/jobs/view/3214702399

Postdoc: ML/AI in Drug Design
Chalmers University
Gothenburg, Sweden
https://www.linkedin.com/jobs/view/3224363168

Postdoctor in Computational Chemistry
Uppsala University
Uppsala, Sweden
https://www.uu.se/en/about-uu/join-us/details/?positionId=535870

Machine Learning Scientist, Hit Optimization
Cellarity
Cambridge, MA
https://www.linkedin.com/jobs/view/3231434837

Computational Chemist, Drug Hunter, Data Scientist, Cloud/ML Engineer(s), and others
Aqemia
Paris, France
https://www.aqemia.com/careers

Postdoctoral Researcher in Chemical Data Sciences
EAWAG
Zurich, Switzerland
https://www.myscience.ch/de/jobs/id57876-postdoctoral_researcher_in_chemical_data_sciences_2_years-eawag-duebendorf

Positions in Structure-Based Drug Design, AI, Bioinformatics, and others
Astex
Cambridge, UK
https://astx.com/our-people-and-culture/uk-vacancies/

Research Fellow, Olfaction Cheminformatics
University of Hertfordshire
Hatfield, UK
https://www.jobs.ac.uk/job/CTG497/research-fellow-olfaction-cheminformatics

Machine Learning Engineer, AI Scientist, Molecular Dynamics Expert, and others
AstraZeneca
Cambridge, UK or Gothenburg, Sweden
https://www.linkedin.com/feed/update/urn:li:activity:6975692461645910016/

Postdoctoral Researchers: Machine Learning for Small Molecule Drug Discovery and Immunoinformatics
University of Oxford
Oxford, UK
https://www.jobs.ac.uk/job/CTH997/senior-postdoctoral-researcher-in-machine-learning-for-small-molecule-drug-discovery
https://www.jobs.ac.uk/job/CTI014/senior-postdoctoral-researcher-in-immunoinformatics

Computational Scientist Industrial Placement, UK 2023
GSK
Stevenage, UK
https://jobs.gsk.com/en-gb/jobs/347191?lang=en-us

Cheminformatics…

“Here we present the first 3D pretrain-powered binding pose prediction, Uni-Mol Docking.[…] Besides binding pose prediction, Uni-Mol also achieves SOTA in various tasks, such as molecular property prediction and molecular conformation generation.”
https://twitter.com/guolin_ke/status/1568241771146256385?t=LHzb8jbypj-sPtWwcADDPw&s=19
Next needs to come translation to practice

… beyond Cheminformatics …

“Galaxy SynBioCAD is an open access Galaxy workflow environment to design and build different metabolic routes for the production of a compound of interest.”
https://galaxy-synbiocad.org/
Excellent accessibility of rather complex underlying tools

How (Not) to Generate a Highly Predictive Biomarker Panel Using Machine Learning
https://pubs.acs.org/doi/full/10.1021/acs.jproteome.2c00117
Proteomics discovers nested cross-validation

Whitesides’ Group: Writing a Paper
https://onlinelibrary.wiley.com/doi/epdf/10.1002/adma.200400767
Focus on synthesis, but transferable to other areas

Think Biologically, Act Chemically
https://pubs.acs.org/doi/10.1021/acs.jmedchem.2c01121
Some philosophical underpinning for our daily life

A Future History of Biomedical Progress
https://markov.bio/biomedical-progress/
Very broad coverage of topics

Laid off by Big Tech? Big Pharma wants you
https://www.fastcompany.com/90788218/tech-layoffs-big-pharma-hiring
Waves go one way, until they go the other

… and clearly beyond Cheminformatics

Important information from the UK Government
https://twitter.com/thejuicemedia/status/1561657960819937282
Good to know, isn’t it

Viral Post Generator
https://viralpostgenerator.com
In case you need some inspiration for your next LinkedIn post

I believe this is all from my side for now – if you have any information for me to circulate, or wish to present at one of our next Cambridge Cheminformatics or Digital Science for Drug Discovery Meetings, please just let me know, cheers!

Best wishes,

Andreas

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