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.
157 related articles for article (PubMed ID: 37369957)
1. Exploring molecular fingerprints of different drugs having bile interaction: a stepping stone towards better drug delivery. Sardar S; Bhattacharya A; Amin SA; Jha T; Gayen S Mol Divers; 2024 Jun; 28(3):1471-1483. PubMed ID: 37369957 [TBL] [Abstract][Full Text] [Related]
2. Drug-likeness analysis of traditional Chinese medicines: prediction of drug-likeness using machine learning approaches. Tian S; Wang J; Li Y; Xu X; Hou T Mol Pharm; 2012 Oct; 9(10):2875-86. PubMed ID: 22738405 [TBL] [Abstract][Full Text] [Related]
3. Exploration of structural alerts and fingerprints for novel anticancer therapeutics: a robust classification-QSAR dependent structural analysis of drug-like MMP-9 inhibitors. Banerjee S; Baidya SK; Ghosh B; Jha T; Adhikari N SAR QSAR Environ Res; 2023 Apr; 34(4):299-319. PubMed ID: 37170840 [TBL] [Abstract][Full Text] [Related]
4. Exploration of good and bad structural fingerprints for inhibition of indoleamine-2,3-dioxygenase enzyme in cancer immunotherapy using Monte Carlo optimization and Bayesian classification QSAR modeling. Jain S; Bhardwaj B; Amin SA; Adhikari N; Jha T; Gayen S J Biomol Struct Dyn; 2020 Apr; 38(6):1683-1696. PubMed ID: 31057090 [TBL] [Abstract][Full Text] [Related]
5. Exploring different classification-dependent QSAR modelling strategies for HDAC3 inhibitors in search of meaningful structural contributors. Jha T; Jana R; Banerjee S; Baidya SK; Amin SA; Gayen S; Ghosh B; Adhikari N SAR QSAR Environ Res; 2024 May; 35(5):367-389. PubMed ID: 38757181 [TBL] [Abstract][Full Text] [Related]
6. Fragment-based QSAR study to explore the structural requirements of DPP-4 inhibitors: a stepping stone towards better type 2 diabetes mellitus management. Dey PK; Dutta R; Ray M; Jakkula P; Banerjee S; Qureshi IA; Gayen S; Amin SA SAR QSAR Environ Res; 2024 Jun; 35(6):483-504. PubMed ID: 38904353 [TBL] [Abstract][Full Text] [Related]
7. Identification of novel MRP3 inhibitors based on computational models and validation using an in vitro membrane vesicle assay. Ali I; Welch MA; Lu Y; Swaan PW; Brouwer KLR Eur J Pharm Sci; 2017 May; 103():52-59. PubMed ID: 28238947 [TBL] [Abstract][Full Text] [Related]
8. Targeting HIV/HCV Coinfection Using a Machine Learning-Based Multiple Quantitative Structure-Activity Relationships (Multiple QSAR) Method. Wei Y; Li W; Du T; Hong Z; Lin J Int J Mol Sci; 2019 Jul; 20(14):. PubMed ID: 31336592 [TBL] [Abstract][Full Text] [Related]
10. Computational models for drug inhibition of the human apical sodium-dependent bile acid transporter. Zheng X; Ekins S; Raufman JP; Polli JE Mol Pharm; 2009; 6(5):1591-603. PubMed ID: 19673539 [TBL] [Abstract][Full Text] [Related]
11. Insights into the permeability of drugs and drug-like molecules from MI-QSAR and HQSAR studies. Shinde RN; Srikanth K; Sobhia ME J Mol Model; 2012 Mar; 18(3):947-62. PubMed ID: 21638045 [TBL] [Abstract][Full Text] [Related]
12. Computational models for the classification of mPGES-1 inhibitors with fingerprint descriptors. Xia Z; Yan A Mol Divers; 2017 Aug; 21(3):661-675. PubMed ID: 28484935 [TBL] [Abstract][Full Text] [Related]
13. Predicting mTOR inhibitors with a classifier using recursive partitioning and Naïve Bayesian approaches. Wang L; Chen L; Liu Z; Zheng M; Gu Q; Xu J PLoS One; 2014; 9(5):e95221. PubMed ID: 24819222 [TBL] [Abstract][Full Text] [Related]
14. ADME evaluation in drug discovery. 10. Predictions of P-glycoprotein inhibitors using recursive partitioning and naive Bayesian classification techniques. Chen L; Li Y; Zhao Q; Peng H; Hou T Mol Pharm; 2011 Jun; 8(3):889-900. PubMed ID: 21413792 [TBL] [Abstract][Full Text] [Related]
15. Insight into the structural requirements of gelatinases (MMP-2 and MMP-9) inhibitors by multiple validated molecular modelling approaches: Part II. Das S; Amin SA; Gayen S; Jha T SAR QSAR Environ Res; 2022 Mar; 33(3):167-192. PubMed ID: 35301933 [TBL] [Abstract][Full Text] [Related]
16. Molecular field analysis and 3D-quantitative structure-activity relationship study (MFA 3D-QSAR) unveil novel features of bile acid recognition at TGR5. Macchiarulo A; Gioiello A; Thomas C; Massarotti A; Nuti R; Rosatelli E; Sabbatini P; Schoonjans K; Auwerx J; Pellicciari R J Chem Inf Model; 2008 Sep; 48(9):1792-801. PubMed ID: 18698841 [TBL] [Abstract][Full Text] [Related]
17. Absorption, Distribution, Metabolism, Excretion, and Toxicity Evaluation in Drug Discovery. 14. Prediction of Human Pregnane X Receptor Activators by Using Naive Bayesian Classification Technique. Shi H; Tian S; Li Y; Li D; Yu H; Zhen X; Hou T Chem Res Toxicol; 2015 Jan; 28(1):116-25. PubMed ID: 25495542 [TBL] [Abstract][Full Text] [Related]
18. ADMET evaluation in drug discovery. 12. Development of binary classification models for prediction of hERG potassium channel blockage. Wang S; Li Y; Wang J; Chen L; Zhang L; Yu H; Hou T Mol Pharm; 2012 Apr; 9(4):996-1010. PubMed ID: 22380484 [TBL] [Abstract][Full Text] [Related]
19. Exploration of Fingerprints and Data Mining-based Prediction of Some Bioactive Compounds from Allium sativum as Histone Deacetylase 9 (HDAC9) Inhibitors. Das T; Bhattacharya A; Jha T; Gayen S Curr Comput Aided Drug Des; 2024 Feb; ():. PubMed ID: 38321909 [TBL] [Abstract][Full Text] [Related]
20. Development of QSAR models for microsomal stability: identification of good and bad structural features for rat, human and mouse microsomal stability. Hu Y; Unwalla R; Denny RA; Bikker J; Di L; Humblet C J Comput Aided Mol Des; 2010 Jan; 24(1):23-35. PubMed ID: 19937264 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]