These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

166 related articles for article (PubMed ID: 35325760)

  • 21. Identifying GPCR-drug interaction based on wordbook learning from sequences.
    Wang P; Huang X; Qiu W; Xiao X
    BMC Bioinformatics; 2020 Apr; 21(1):150. PubMed ID: 32312232
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Graph Convolutional Capsule Regression (GCCR): A Model for Accelerated Filtering of Novel Potential Candidates for SARS-CoV-2 based on Binding Affinity.
    Krishnan A; Vinod D
    Curr Comput Aided Drug Des; 2024; 20(1):33-41. PubMed ID: 37005531
    [TBL] [Abstract][Full Text] [Related]  

  • 23. GLIDA: GPCR-ligand database for chemical genomic drug discovery.
    Okuno Y; Yang J; Taneishi K; Yabuuchi H; Tsujimoto G
    Nucleic Acids Res; 2006 Jan; 34(Database issue):D673-7. PubMed ID: 16381956
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Cross-domain bearing fault diagnosis using dual-path convolutional neural networks and multi-parallel graph convolutional networks.
    Zhang Y; Zhang S; Zhu Y; Ke W
    ISA Trans; 2024 Sep; 152():129-142. PubMed ID: 38876952
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Efficiency of Homology Modeling Assisted Molecular Docking in G-protein Coupled Receptors.
    Bhunia SS; Saxena AK
    Curr Top Med Chem; 2021; 21(4):269-294. PubMed ID: 32901584
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Accurate predictions of aqueous solubility of drug molecules via the multilevel graph convolutional network (MGCN) and SchNet architectures.
    Gao P; Zhang J; Sun Y; Yu J
    Phys Chem Chem Phys; 2020 Nov; 22(41):23766-23772. PubMed ID: 33063077
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Predicting associations between drugs and G protein-coupled receptors using a multi-graph convolutional network.
    Luo Y; Li S; Peng L; Ding P; Liang W
    Comput Biol Chem; 2024 Jun; 110():108060. PubMed ID: 38579550
    [TBL] [Abstract][Full Text] [Related]  

  • 28. GPCRLigNet: rapid screening for GPCR active ligands using machine learning.
    Remington JM; McKay KT; Beckage NB; Ferrell JB; Schneebeli ST; Li J
    J Comput Aided Mol Des; 2023 Mar; 37(3):147-156. PubMed ID: 36840893
    [TBL] [Abstract][Full Text] [Related]  

  • 29. MolGpka: A Web Server for Small Molecule p
    Pan X; Wang H; Li C; Zhang JZH; Ji C
    J Chem Inf Model; 2021 Jul; 61(7):3159-3165. PubMed ID: 34251213
    [TBL] [Abstract][Full Text] [Related]  

  • 30. An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction.
    Peng J; Wang Y; Guan J; Li J; Han R; Hao J; Wei Z; Shang X
    Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33517357
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Quantitative and systems pharmacology 2. In silico polypharmacology of G protein-coupled receptor ligands via network-based approaches.
    Wu Z; Lu W; Yu W; Wang T; Li W; Liu G; Zhang H; Pang X; Huang J; Liu M; Cheng F; Tang Y
    Pharmacol Res; 2018 Mar; 129():400-413. PubMed ID: 29133212
    [TBL] [Abstract][Full Text] [Related]  

  • 32. An Integrated Approach toward NanoBRET Tracers for Analysis of GPCR Ligand Engagement.
    Killoran MP; Levin S; Boursier ME; Zimmerman K; Hurst R; Hall MP; Machleidt T; Kirkland TA; Friedman Ohana R
    Molecules; 2021 May; 26(10):. PubMed ID: 34065854
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Integrated Transfer Learning and Multitask Learning Strategies to Construct Graph Neural Network Models for Predicting Bioaccumulation Parameters of Chemicals.
    Xiao Z; Zhu M; Chen J; You Z
    Environ Sci Technol; 2024 Sep; 58(35):15650-15660. PubMed ID: 39051472
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Machine Learning to Identify Flexibility Signatures of Class A GPCR Inhibition.
    Bemister-Buffington J; Wolf AJ; Raschka S; Kuhn LA
    Biomolecules; 2020 Mar; 10(3):. PubMed ID: 32183371
    [TBL] [Abstract][Full Text] [Related]  

  • 35. SSGraphCPI: A Novel Model for Predicting Compound-Protein Interactions Based on Deep Learning.
    Wang X; Liu J; Zhang C; Wang S
    Int J Mol Sci; 2022 Mar; 23(7):. PubMed ID: 35409140
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Characterizing common substructures of ligands for GPCR protein subfamilies.
    Erguner B; Hattori M; Goto S; Kanehisa M
    Genome Inform; 2010; 24():31-41. PubMed ID: 22081587
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Orphan receptor ligand discovery by pickpocketing pharmacological neighbors.
    Ngo T; Ilatovskiy AV; Stewart AG; Coleman JL; McRobb FM; Riek RP; Graham RM; Abagyan R; Kufareva I; Smith NJ
    Nat Chem Biol; 2017 Feb; 13(2):235-242. PubMed ID: 27992882
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Graph Convolutional Neural Networks for Predicting Drug-Target Interactions.
    Torng W; Altman RB
    J Chem Inf Model; 2019 Oct; 59(10):4131-4149. PubMed ID: 31580672
    [TBL] [Abstract][Full Text] [Related]  

  • 39. G Protein-Coupled Receptor Interaction Prediction Based on Deep Transfer Learning.
    Jiang T; Chen Y; Guan S; Hu Z; Lu W; Fu Q; Ding Y; Li H; Wu H
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(6):3126-3134. PubMed ID: 34780331
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Ligand-Receptor Interactions and Machine Learning in GCGR and GLP-1R Drug Discovery.
    Mizera M; Latek D
    Int J Mol Sci; 2021 Apr; 22(8):. PubMed ID: 33920024
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.