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- Currently displaying 21 - 40 of 559 publications
Transferable machine learning interatomic potential for bond dissociation energy prediction of drug-like molecule
(2023)
(doi: 10.26434/chemrxiv-2023-l85nf)
wfl Python Toolkit for Creating Machine Learning Interatomic Potentials and Related Atomistic Simulation Workflows
(2023)
(doi: 10.48550/arxiv.2306.11421)
Merging bioactivity predictions from cell morphology and chemical fingerprint models using similarity to training data.
– Journal of cheminformatics
(2023)
15,
56
(doi: 10.1186/s13321-023-00723-x)
Explaining Blood–Brain Barrier Permeability of Small Molecules by Integrated Analysis of Different Transport Mechanisms
– Journal of Medicinal Chemistry
(2023)
66,
7253
(doi: 10.1021/acs.jmedchem.2c01824)
Prediction of Compound Plasma Concentration-Time Profiles in Mice Using Random Forest.
– Molecular Pharmaceutics
(2023)
20,
3060
Benchmarking causal reasoning algorithms for gene expression-based compound mechanism of action analysis.
– BMC bioinformatics
(2023)
24,
154
(doi: 10.1186/s12859-023-05277-1)
Deep generative models for 3D molecular structure
– Curr Opin Struct Biol
(2023)
80,
102566
(doi: 10.1016/j.sbi.2023.102566)
Using Transcriptomics and Cell Morphology Data in Drug Discovery: The Long Road to Practice.
– ACS Medicinal Chemistry Letters
(2023)
14,
386
Mechanism of action deconvolution of the small-molecule pathological tau aggregation inhibitor Anle138b
– Alzheimer's Research & Therapy
(2023)
15,
52
(doi: 10.1186/s13195-023-01182-0)
Mechanism of action deconvolution of the small-molecule pathological tau aggregation inhibitor Anle138b.
– Alzheimer's research & therapy
(2023)
15,
52
(doi: 10.1186/s13195-023-01182-0)
Integrating structure-based approaches in generative molecular design
– Curr Opin Struct Biol
(2023)
79,
102559
(doi: 10.1016/j.sbi.2023.102559)
Analysis of Virtual Control Groups and Inter-species Concordance using Preclinical Toxicity Data
(2023)
(doi: 10.17863/CAM.97106)
In silico prediction and biological assessment of novel angiogenesis modulators from traditional Chinese medicine.
– Frontiers in pharmacology
(2023)
14,
1116081
(doi: 10.3389/fphar.2023.1116081)
Using chemical and biological data to predict drug toxicity.
– SLAS Discovery
(2023)
28,
53
(doi: 10.1016/j.slasd.2022.12.003)
Prediction of inotropic effect based on calcium transients in human iPSC-derived cardiomyocytes and machine learning
– Toxicology and applied pharmacology
(2022)
459,
116342
(doi: 10.1016/j.taap.2022.116342)
Retrospective analysis of the potential use of virtual control groups in preclinical toxicity assessment using the eTOX database.
– Regulatory toxicology and pharmacology : RTP
(2022)
138,
105309
(doi: 10.1016/j.yrtph.2022.105309)
Statistical analysis of preclinical inter-species concordance of histopathological findings in the eTOX database
– Regulatory toxicology and pharmacology : RTP
(2022)
138,
105308
(doi: 10.1016/j.yrtph.2022.105308)
Augmented Hill-Climb increases reinforcement learning efficiency for language-based de novo molecule generation.
– J Cheminform
(2022)
14,
68
(doi: 10.1186/s13321-022-00646-z)
A review of biomedical datasets relating to drug discovery: a knowledge graph perspective
– Brief Bioinform
(2022)
23,
bbac404
(doi: 10.1093/bib/bbac404)
scRNA-Seq-based drug repurposing targeting idiopathic pulmonary fibrosis (IPF)
(2022)
(doi: 10.1101/2022.09.17.508360)