Detalhe da pesquisa
1.
The Psychiatric Cell Map Initiative: A Convergent Systems Biological Approach to Illuminating Key Molecular Pathways in Neuropsychiatric Disorders.
Cell;
174(3): 505-520, 2018 07 26.
Artigo
em Inglês
| MEDLINE
| ID: mdl-30053424
2.
Prioritizing Virtual Screening with Interpretable Interaction Fingerprints.
J Chem Inf Model;
62(18): 4300-4318, 2022 09 26.
Artigo
em Inglês
| MEDLINE
| ID: mdl-36102784
3.
Adding Stochastic Negative Examples into Machine Learning Improves Molecular Bioactivity Prediction.
J Chem Inf Model;
60(12): 5957-5970, 2020 12 28.
Artigo
em Inglês
| MEDLINE
| ID: mdl-33245237
4.
Zebrafish behavioral profiling identifies multitarget antipsychotic-like compounds.
Nat Chem Biol;
12(7): 559-66, 2016 07.
Artigo
em Inglês
| MEDLINE
| ID: mdl-27239787
5.
Predicted Biological Activity of Purchasable Chemical Space.
J Chem Inf Model;
58(1): 148-164, 2018 01 22.
Artigo
em Inglês
| MEDLINE
| ID: mdl-29193970
6.
Large-scale prediction and testing of drug activity on side-effect targets.
Nature;
486(7403): 361-7, 2012 Jun 10.
Artigo
em Inglês
| MEDLINE
| ID: mdl-22722194
7.
In silico molecular comparisons of C. elegans and mammalian pharmacology identify distinct targets that regulate feeding.
PLoS Biol;
11(11): e1001712, 2013 Nov.
Artigo
em Inglês
| MEDLINE
| ID: mdl-24260022
8.
Predicting new molecular targets for known drugs.
Nature;
462(7270): 175-81, 2009 Nov 12.
Artigo
em Inglês
| MEDLINE
| ID: mdl-19881490
9.
Prediction and validation of enzyme and transporter off-targets for metformin.
J Pharmacokinet Pharmacodyn;
42(5): 463-75, 2015 Oct.
Artigo
em Inglês
| MEDLINE
| ID: mdl-26335661
10.
Chemical informatics and target identification in a zebrafish phenotypic screen.
Nat Chem Biol;
8(2): 144-6, 2011 Dec 18.
Artigo
em Inglês
| MEDLINE
| ID: mdl-22179068
11.
ChromaFactor: deconvolution of single-molecule chromatin organization with non-negative matrix factorization.
bioRxiv;
2023 Nov 22.
Artigo
em Inglês
| MEDLINE
| ID: mdl-38045231
12.
In silico discovery of repetitive elements as key sequence determinants of 3D genome folding.
Cell Genom;
3(10): 100410, 2023 Oct 11.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37868032
13.
Learning chemical sensitivity reveals mechanisms of cellular response.
bioRxiv;
2023 Aug 28.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37693536
14.
Learning fast and fine-grained detection of amyloid neuropathologies from coarse-grained expert labels.
bioRxiv;
2023 Jan 17.
Artigo
em Inglês
| MEDLINE
| ID: mdl-36711704
15.
Learning fast and fine-grained detection of amyloid neuropathologies from coarse-grained expert labels.
Commun Biol;
6(1): 668, 2023 06 24.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37355729
16.
Toward a generalizable machine learning workflow for neurodegenerative disease staging with focus on neurofibrillary tangles.
Acta Neuropathol Commun;
11(1): 202, 2023 Dec 18.
Artigo
em Inglês
| MEDLINE
| ID: mdl-38110981
17.
Deep learning from multiple experts improves identification of amyloid neuropathologies.
Acta Neuropathol Commun;
10(1): 66, 2022 04 28.
Artigo
em Inglês
| MEDLINE
| ID: mdl-35484610
18.
Trans-channel fluorescence learning improves high-content screening for Alzheimer's disease therapeutics.
Nat Mach Intell;
4(6): 583-595, 2022 Jun.
Artigo
em Inglês
| MEDLINE
| ID: mdl-36276634
19.
Quantifying biogenic bias in screening libraries.
Nat Chem Biol;
5(7): 479-83, 2009 Jul.
Artigo
em Inglês
| MEDLINE
| ID: mdl-19483698
20.
Stress testing reveals gaps in clinic readiness of image-based diagnostic artificial intelligence models.
NPJ Digit Med;
4(1): 10, 2021 Jan 21.
Artigo
em Inglês
| MEDLINE
| ID: mdl-33479460