637 results on '"Nantasenamat, Chanin"'
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2. Contributors
3. PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning
4. Artificial intelligence in overcoming rifampicin resistant-screening challenges in Indonesia: a qualitative study on the user experience of CUHAS-ROBUST
5. The decreasing prevalence of the thyroid ima artery: A systematic review and machine learning assisted meta-analysis
6. ABCpred: a webserver for the discovery of acetyl- and butyryl-cholinesterase inhibitors
7. AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning
8. Oxidized regenerated cellulose nanofiber membranes for capturing heavy metals in aqueous solutions
9. StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors
10. Clinical validation of urine-based Xpert® MTB/RIF assay for the diagnosis of urogenital tuberculosis: A systematic review and meta-analysis
11. Meta-iPVP: a sequence-based meta-predictor for improving the prediction of phage virion proteins using effective feature representation
12. Proteomic study of in vitro osteogenic differentiation of mesenchymal stem cells in high glucose condition
13. Improved prediction and characterization of anticancer activities of peptides using a novel flexible scoring card method
14. A novel sequence-based predictor for identifying and characterizing thermophilic proteins using estimated propensity scores of dipeptides
15. HIVCoR: A sequence-based tool for predicting HIV-1 CRF01_AE coreceptor usage
16. THPep: A machine learning-based approach for predicting tumor homing peptides
17. Farnesol‐Imprinted Nanospheres (FINs) as Quorum Sensing Modulators of Candida albicans Hyphae Formation.
18. Machine Learning Approaches to Investigate the Structure–Activity Relationship of Angiotensin-Converting Enzyme Inhibitors
19. Best Practices for Constructing Reproducible QSAR Models
20. Towards the Revival of Interpretable QSAR Models
21. Molecularly imprinted polymer for human viral pathogen detection
22. Towards reproducible computational drug discovery
23. COMPUTER-GUIDED DESIGN OF NOVEL NITROGEN-BASED HETEROCYCLIC SPHINGOSINE-1-PHOSPHATE (S1P) ACTIVATORS AS OSTEOANABOLIC AGENTS.
24. Contributors
25. Proteochemometric Modeling for Drug Repositioning
26. Extending proteochemometric modeling for unraveling the sorption behavior of compound–soil interaction
27. Unraveling the origin of splice switching activity of hemoglobin β-globin gene modulators via QSAR modeling
28. Structural and biochemical characterization of two heme binding sites on α1-microglobulin using site directed mutagenesis and molecular simulation
29. A novel potent autophagy inhibitor ECDD-S27 targets vacuolar ATPase and inhibits cancer cell survival
30. Cheminformatic Analysis and Machine Learning Modeling to Investigate Androgen Receptor Antagonists to Combat Prostate Cancer
31. Exploring the Chemical Space of CYP17A1 Inhibitors Using Cheminformatics and Machine Learning
32. Novel 1,4-naphthoquinone-based sulfonamides: Synthesis, QSAR, anticancer and antimalarial studies
33. Synthesis and molecular docking of 1,2,3-triazole-based sulfonamides as aromatase inhibitors
34. Probing the origins of 17β-hydroxysteroid dehydrogenase type 1 inhibitory activity via QSAR and molecular docking
35. PARP1pred: a web server for screening the bioactivity of inhibitors against DNA repair enzyme PARP-1
36. Large-scale QSAR study of aromatase inhibitors using SMILES-based descriptors
37. Synthesis, biological evaluation and molecular docking of novel chalcone–coumarin hybrids as anticancer and antimalarial agents
38. Synthesis, anticancer activity and QSAR study of 1,4-naphthoquinone derivatives
39. Design, synthesis and molecular docking studies of novel N-benzenesulfonyl-1,2,3,4-tetrahydroisoquinoline-based triazoles with potential anticancer activity
40. Chapter 27 - Building bioinformatics web applications with Streamlit
41. Predictive QSAR modeling of aldose reductase inhibitors using Monte Carlo feature selection
42. Insights into antioxidant activity of 1-adamantylthiopyridine analogs using multiple linear regression
43. osFP: a web server for predicting the oligomeric states of fluorescent proteins
44. StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides
45. QSAR modeling of aromatase inhibitory activity of 1-substituted 1,2,3-triazole analogs of letrozole
46. Genetic algorithm search space splicing particle swarm optimization as general-purpose optimizer
47. Quantitative structure–property relationship study of spectral properties of green fluorescent protein with support vector machine
48. Discovery of novel 1,2,3-triazole derivatives as anticancer agents using QSAR and in silico structural modification
49. Large-scale structure-activity relationship study of hepatitis C virus NS5B polymerase inhibition using SMILES-based descriptors
50. Probing the origins of anticancer activity of chrysin derivatives
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