
Computational chemist at the University of Copenhagen. PChem Editor-in-Chief @PeerJChemistry. #compchem
Univ. of Copenhagen, Denmark
Joined December 2010
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My Machine Learning Basics website is getting there. Good thing because the course starts in a week 😬 The aim of the course is to introduce chemistry students to Python, machine learning, and @RDKit sites.google.com/view/ml-bas… #compchem
New preprint: SMILES All Around: Structure to SMILES conversion for Transition Metal Complexes doi.org/10.26434/chemrxiv-20… #compchem with @MariaHarrisRas1 @Strandgaard96 Julius Seumer Laura Hemmingsen @Angelo_Frei @BalcellsD
Jan Jensen (janhjensen.bsky.social) retweeted
Our group is recruiting a postdoctoral researcher for a project on reactive machine learning potentials. Reposts and spreading the word to interested people in your network appreciated!
jobs.ethz.ch/job/view/JOPG_e…
Jan Jensen (janhjensen.bsky.social) retweeted
#ICIQJobs
Prof. @Carles_Bo is hiring a Project Manager for the @ioChem_BD OSCARS project!
🔹 PhD in #compchem
🔹 Strong Python skills
🔹 Experience with data science
Apply here🔗careers.iciq.org/jobs/517778…
@iCERCA @_BIST @SOMM_alliance
Jan Jensen (janhjensen.bsky.social) retweeted
We also have a second competition funded PhD Position available! This project focuses on the exploration of novel ligand and metal chemistry for the preparation of modular compound libraries. These will then be evaluated as potential antimicrobials. tinyurl.com/Metalloantibioti…
This New Energy Storage Idea Makes A Lot Of Sense
youtu.be/x01Rfj12Xi0?si=_iHU…
Jan Jensen (janhjensen.bsky.social) retweeted
This is a brief reminder to follow me and the rest of science twitter to bluer skies elsewhere... 🦋
Jan Jensen (janhjensen.bsky.social) retweeted
📢Save the date📢: Sonia Coriani and I are excited to announce next summer’s Current Trends in Electronic-Structure Theory (CTEST-2025), a WATOC2025 satellite meeting taking place from 18-20 June 2025 at the Carlsberg Academy in Copenhagen, Denmark. [1/3]
ctest2025.com/
Metallicious: Automated Force-Field Parameterization of Covalently Bound Metals for Supramolecular Structures bsky.app/profile/janhjensen.… #compchem
A simple similarity metric for comparing synthetic routes shorturl.at/xByBZ #compchem
ShEPhERD: Diffusing shape, electrostatics, and pharmacophores for bioisosteric drug design #compchem shorturl.at/v4QM1
Moltiverse: Molecular Conformer Generation Using Enhanced Sampling Methods bsky.app/profile/janhjensen.…
Enabling Automation of de Novo Catalyst Design: An Experimentally Validated, Multifactor Design Metric for Olefin Metathesis bsky.app/profile/janhjensen.…
Charting the chemical space of modular heterocyclic nucleophiles for CO₂ capture doi.org/10.26434/chemrxiv-20… #compchem
Jan Jensen (janhjensen.bsky.social) retweeted
Our group is recruiting a PhD student for a project on combining traditional expert features with deep learning for reaction prediction. Reposts and spreading the word to interested people in your network appreciated!
jobs.ethz.ch/job/view/JOPG_e…
New preprint from my group: Predicting C-H activation through hydride affinity and homolytic bond dissociation energies doi.org/10.26434/chemrxiv-20… #compchem
Jan Jensen (janhjensen.bsky.social) retweeted
"I'm actually not super interested in having a whole lot of money," says Ozempic researcher Lotte Knudsen. "It doesn't look like it's making people happy, right?... I like to pay my taxes." cbsn.ws/4edeSUS
Jan Jensen (janhjensen.bsky.social) retweeted
Finally, a community-wide paper @JCIM_JCTC led by @mattschap describing results of CACHE Challenge #1: Targeting the WDR Domain of LRRK2, A Parkinson’s Disease Associated Protein! #compchem #drugdiscovery
pubs.acs.org/doi/10.1021/acs…
Here we report the results of the inaugural CACHE challenge in which 23 computational teams each selected up to 100 commercially available compounds that they predicted would bind to the WDR domain of the Parkinson’s disease target LRRK2, a domain with no known ligand and only an apo structure in the PDB. The lack of known binding data and presumably low druggability of the target is a challenge to computational hit finding methods. Of the 1955 molecules predicted by participants in Round 1 of the challenge, 73 were found to bind to LRRK2 in an SPR assay with a KD lower than 150 μM. These 73 molecules were advanced to the Round 2 hit expansion phase, where computational teams each selected up to 50 analogs. Binding was observed in two orthogonal assays for seven chemically diverse series, with affinities ranging from 18 to 140 μM.
Introducing SpaceGA: A Search Tool to Accelerate Large Virtual Screenings of Combinatorial Libraries pubs.acs.org/doi/10.1021/acs… #compchem
Exploring Different Search Approaches to Discover Donor Molecules for Organic Solar Cells arxiv.org/abs/2411.01900 #compchem













