Nils Weskamp
@nilsweskamp.bsky.social
200 followers
710 following
21 posts
Teaching computers chemistry. Helping data sets with people problems. Sailing the sea. Opinions my own.
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Reposted by Nils Weskamp
Reposted by Nils Weskamp
Nils Weskamp
@nilsweskamp.bsky.social
· May 15
Reposted by Nils Weskamp
Reposted by Nils Weskamp
Nils Weskamp
@nilsweskamp.bsky.social
· Apr 11
Nils Weskamp
@nilsweskamp.bsky.social
· Apr 4
Nils Weskamp
@nilsweskamp.bsky.social
· Mar 27
Predicting Pharmacokinetics in Rats Using Machine Learning: A Comparative Study Between Empirical, Compartmental, and PBPK‐Based Approaches
A successful drug needs to combine several properties including high potency and good pharmacokinetic (PK) properties to sustain efficacious plasma concentration over time. To estimate required doses...
doi.org
Nils Weskamp
@nilsweskamp.bsky.social
· Mar 18
Nils Weskamp
@nilsweskamp.bsky.social
· Mar 9
Reposted by Nils Weskamp
Reposted by Nils Weskamp
Phil Biggin
@philbiggin.bsky.social
· Feb 8
Narrowing the gap between machine learning scoring functions and free energy perturbation using augmented data
Communications Chemistry - Machine learning offers great promise for fast and accurate binding affinity predictions, however, current models lack robust evaluation and fail on tasks encountered in...
rdcu.be
Nils Weskamp
@nilsweskamp.bsky.social
· Feb 5
Return to Flatland - Nature Reviews Chemistry
Fifteen years ago, an analysis of drug molecules moving through the stages of clinical development suggested that increased three-dimensional character was a marker of greater success. Now, we perform...
www.nature.com
Nils Weskamp
@nilsweskamp.bsky.social
· Jan 21
Reposted by Nils Weskamp
Francesca Grisoni
@fragrisoni.bsky.social
· Jan 14
The Jungle of Generative Drug Discovery: Traps, Treasures, and Ways Out
"How to evaluate de novo designs proposed by a generative model?" Despite the transformative potential of generative deep learning in drug discovery, this seemingly simple question has no clear answer...
arxiv.org