Detalhe da pesquisa
1.
KinomeMETA: meta-learning enhanced kinome-wide polypharmacology profiling.
Brief Bioinform
; 25(1)2023 11 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-38113075
2.
Narirutin Attenuates Cerebral Ischemia-Reperfusion Injury by Suppressing the TXNIP/NLRP3 Pathway.
Neurochem Res
; 49(3): 692-705, 2024 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-38047987
3.
Establishment and Validation of Novel Prognostic Subtypes in Hepatocellular Carcinoma Based on Bile Acid Metabolism Gene Signatures Using Bulk and Single-Cell RNA-Seq Data.
Int J Mol Sci
; 25(2)2024 Jan 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-38255993
4.
DeepYY1: a deep learning approach to identify YY1-mediated chromatin loops.
Brief Bioinform
; 22(4)2021 07 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-33279983
5.
Evaluation of different computational methods on 5-methylcytosine sites identification.
Brief Bioinform
; 21(3): 982-995, 2020 05 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-31157855
6.
A Brief Survey for MicroRNA Precursor Identification Using Machine Learning Methods.
Curr Genomics
; 21(1): 11-25, 2020 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-32655294
7.
A qualitative signature for early diagnosis of hepatocellular carcinoma based on relative expression orderings.
Liver Int
; 38(10): 1812-1819, 2018 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-29682909
8.
MAPK target networks in Arabidopsis thaliana revealed using functional protein microarrays.
Genes Dev
; 23(1): 80-92, 2009 Jan 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-19095804
9.
Development of machine learning-based predictors for early diagnosis of hepatocellular carcinoma.
Sci Rep
; 14(1): 5274, 2024 03 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-38438393
10.
Genomic imprinting at a boundary element flanking the SDHD locus.
Hum Mol Genet
; 20(22): 4452-61, 2011 Nov 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-21862453
11.
Tora3D: an autoregressive torsion angle prediction model for molecular 3D conformation generation.
J Cheminform
; 15(1): 57, 2023 Jun 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-37287071
12.
Application of Machine Learning Methods in Predicting Nuclear Receptors and their Families.
Med Chem
; 16(5): 594-604, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-31584374
13.
Early Diagnosis of Pancreatic Ductal Adenocarcinoma by Combining Relative Expression Orderings With Machine-Learning Method.
Front Cell Dev Biol
; 8: 582864, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-33178697
14.
Early Diagnosis of Hepatocellular Carcinoma Using Machine Learning Method.
Front Bioeng Biotechnol
; 8: 254, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-32292778
15.
Recent Advancement in Predicting Subcellular Localization of Mycobacterial Protein with Machine Learning Methods.
Med Chem
; 16(5): 605-619, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-31584379
16.
Seven new chemical constituents from the underground parts of Eupatorium chinense.
Fitoterapia
; 146: 104674, 2020 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-32561423
17.
C-terminal signals regulate targeting of glycosylphosphatidylinositol-anchored proteins to the cell wall or plasma membrane in Candida albicans.
Eukaryot Cell
; 7(11): 1906-15, 2008 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-18723603
18.
Recent Development of Computational Predicting Bioluminescent Proteins.
Curr Pharm Des
; 25(40): 4264-4273, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-31696804
19.
Differential binding of calmodulin-related proteins to their targets revealed through high-density Arabidopsis protein microarrays.
Proc Natl Acad Sci U S A
; 104(11): 4730-5, 2007 Mar 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-17360592
20.
Use of green fluorescent protein fusions to analyse the N- and C-terminal signal peptides of GPI-anchored cell wall proteins in Candida albicans.
Mol Microbiol
; 50(5): 1617-28, 2003 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-14651643