Dear All,
I would like to circulate some current Cheminformatics- (and related) news to everyone as follows. If you have information from your side for distribution please just let me know, and I am happy to include it on the next occasion.
Please note in particular that our next Cambridge Cheminformatics Meeting is scheduled for 8 June 2022; this will be a HYBRID event in person at the CCDC as well as on Zoom, for details see below.
So here we go…
Events
1 June 2022
KNIME Data Talks: Drug Discovery — From Hit Generation to the Clinic
Online
https://hopin.com/events/knime-data-talks-drug-discovery-from-hit-generation-to-the-clinic/registration
8 June 2022, 4pm UK time
Cambridge Cheminformatics Meeting
Online/Cambridge (hybrid event)
Programme
Efficient algorithms for fingerprint similarity search and diversity selection
Andrew Dalke, Dalke Scientific (remote)
http://www.dalkescientific.com
Chemical substructure and similarity search at scale on a Graph computing platform
Andrew Stolman, Abbvie (remote)
https://www.abbvie.com
Automated determination of optimal λ schedules for free energy calculations
Sofia Bariami and Marc Mackey, Cresset (in person)
https://www.cresset-group.com
HYBRID MEETING – please use this registration link for VIRTUAL attendance:
https://zoom.us/meeting/register/tJwlde-gpz4iG9NZ60YXrbGfGgvDWeozG-QK
The IN-PERSON meeting will be held at the Cambridge Crystallographic Data Centre on Union Road, and be capped at 30 attendees. For IN-PERSON attendance please email andreas AT drugdiscovery.net for registration. Afterwards, for 6pm, we will go to the Panton Arms, and everyone (i.e. also those not being able to attend the meeting itself) are welcome to join again there (finally)!
8-9 June 2022
2nd Edelris Symposium on Affinity Selection-Mass Spectrometry in Drug Discovery
Online
https://www.edelris-symposium.org
9 June 2022
COVID Moonshot — A Collaborative Approach to Antiviral Discovery
Online
https://info.collaborativedrug.com/2022-q2-scientific-webinar
20-24 June 2022
AI4SD Machine Learning Summer School
Southampton, UK
https://www.ai3sd.org/2022/05/05/20-24-06-2022-ai4sd-machine-learning-summer-school
13 July 2022
Academic Drug Repurposing: Perspectives from Industry and Philanthropy
Online
https://www.eventbrite.co.uk/e/academic-drug-repurposing-perspectives-from-industry-and-philanthropy-tickets-336418696377
5-9 September 2022
AI and Machine Learning in Healthcare Summer School
Online
https://www.c2d3.cam.ac.uk/events/ccaim-ai-and-machine-learning-healthcare-summer-school
Jobs
Head of CADD
Novartis
Emeryville, CA
https://www.linkedin.com/jobs/view/3062708974
Head of Molecular AI and Machine Learning
GSK
Heidelberg, Germany
https://www.linkedin.com/jobs/view/3068641701
Computational Chemist – Drug Design
Isomorphic Labs
London, UK
https://www.linkedin.com/jobs/view/3074135652
PostDoc/Software Engineer in Cheminformatics
Jena University
Jena, Germany
https://jobs.uni-jena.de/jobposting/41e0a0a016d37c09c63a48eb7cffb14171c805880
Computational Chemist
Read Glead Discovery
Lund, Sweden
https://www.redglead.com/wp-content/uploads/2022/05/RGD_CC01_2022.pdf
Data Scientist
Bayer
Monheim, Germany
https://jobs.bayer.com/job/Monheim-Data-Scientist-%28mfd%29-Nort/804774801
PhD studentships in Artificial Intelligence for (a) Phenotypic Virtual Screening and (b) Precision Oncology
Imperial College
London, UK
https://www.findaphd.com/phds/project/phd-studentship-in-artificial-intelligence-for-phenotypic-virtual-screening/?p144453
https://www.findaphd.com/phds/project/phd-studentship-in-artificial-intelligence-for-precision-oncology/?p144455
Senior Structural Biologist
Orion Pharma
Espoo, Finland
https://www.linkedin.com/jobs/view/3072882780
Several PostDoc and PhD positions at the LIT AI Lab and ELLIS Unit Linz (also bio- and cheminformatics areas)
Linz University
Linz, Austria
https://www.jku.at/en/lit-artificial-intelligence-lab/graduate-school/job-openings/
Computational Chemist
SoseiHeptares
Cambridge, UK
https://cezanneondemand.intervieweb.it/heptares/jobs/computational_chemist_and_cccheminformatician_roles_18449/en
Data Scientist, Machine Learning Engineer
Molab
Bavaria, Germany
https://www.molab.ai/data-scientist
https://www.molab.ai/machine-learning-engineer
Senior Computational Chemist
Drug Discovery Unit
Dundee, Scotland
https://www.lifesci.dundee.ac.uk/vacancies/2022/may/2/senior-computational-chemist
PhD Studentships: In Silico/AI approaches to polypharmacology; and CADD methodologies for identification/optimisation of bioactive compounds
University of Dundee
Dundee, Scotland
https://www.findaphd.com/phds/project/en-and-mn-lindsay-scholarship-developing-in-silico-approaches-for-compound-optimisation-in-drug-discovery-targeting-polypharmacology-using-artifical-intelligence/?p138982
https://www.findaphd.com/phds/project/en-and-mn-lindsay-scholarship-computer-aided-drug-discovery-cadd-methodologies-for-the-identification-and-optimisation-of-bioactive-compounds/?p144737
Cheminformatics …
Recording of the DigiDrug Meeting on 5 May is now online (with a focus on Free Energy Calculations)
http://digidrug.net/events.html
Practical Cheminformatics With Open Source Software
https://github.com/PatWalters/practical_cheminformatics_tutorials
Pat Walters provides a list of Jupyter Notebooks for various cheminformatics tasks
A Deep Unsupervised Language Model for Protein Design
https://www.youtube.com/watch?v=BA5C0kLcErM
Recording of a presentation on the above topic by Noelia Ferruz
CGRdb2.0: A Python Database Management System for Molecules, Reactions, and Chemical Data
https://pubs.acs.org/doi/10.1021/acs.jcim.1c01105
This might be of interest to some people on the list
… beyond Cheminformatics …
DADAPy
https://twitter.com/zany_cloud/status/1526494330868973570
A Python package for density estimate, intrinsic dimension, feature selection and clustering of high-dimensional data.
SigCom LINCS
https://maayanlab.cloud/sigcom-lincs
Easier access to LINCS gene expression data
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
https://arxiv.org/abs/1811.12808
Just came across this again recently – worth a read if you didn’t read it before (but probably also if you did!)
… and really beyond Cheminformatics
If you think your paper has been under review for far too long …
https://twitter.com/pragya1pandey/status/1521655764313513985
you should definitely read this
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