scholarly article | Q13442814 |
P356 | DOI | 10.1515/PSR-2019-0007 |
P50 | author | Fidele Ntie-Kang | Q43370925 |
P2860 | cites work | BitterDB: a database of bitter compounds | Q22337123 |
SuperSweet--a resource on natural and artificial sweetening agents | Q24608576 | ||
Distributed structure-searchable toxicity (DSSTox) public database network: a proposal | Q26701395 | ||
Mechanisms of plant defense against insect herbivores | Q27014168 | ||
PubChem Substance and Compound databases | Q27942588 | ||
Bitter taste, phytonutrients, and the consumer: a review | Q28139130 | ||
The strawberry plant defense mechanism: a molecular review | Q28250073 | ||
Plant Defense against Insect Herbivores | Q28575408 | ||
Plant cyanogenic glycosides | Q29394279 | ||
Extended-connectivity fingerprints | Q29616639 | ||
BitterX: a tool for understanding bitter taste in humans | Q30489178 | ||
Analysis and comparison of 2D fingerprints: insights into database screening performance using eight fingerprint methods | Q34122798 | ||
Cucurbitacins and cucurbitane glycosides: structures and biological activities | Q34433152 | ||
ChemoPy: freely available python package for computational biology and chemoinformatics. | Q34620530 | ||
Significance of flavonoids in plant resistance and enhancement of their biosynthesis | Q36358420 | ||
Cyanogenesis in plants and arthropods | Q37114203 | ||
Hydroxamic acids derived from 2-hydroxy-2H-1,4-benzoxazin-3(4H)-one: key defense chemicals of cereals | Q37387220 | ||
Bitter taste receptors: Extraoral roles in pathophysiology | Q38794823 | ||
Lignin and lignans in plant defence: insight from expression profiling of cinnamyl alcohol dehydrogenase genes during development and following fungal infection in Populus. | Q41638432 | ||
Modes of Action of Herbal Medicines and Plant Secondary Metabolites | Q41748019 | ||
Induction and detoxification of maize 1,4-benzoxazin-3-ones by insect herbivores | Q42016262 | ||
Bitter or not? BitterPredict, a tool for predicting taste from chemical structure | Q42362241 | ||
ProTox: a web server for the in silico prediction of rodent oral toxicity | Q42724472 | ||
Super Natural II--a database of natural products | Q43215075 | ||
Different phenolic compounds activate distinct human bitter taste receptors. | Q43948352 | ||
Tolerance of bitter compounds by an herbivore,Cavia porcellus | Q46221289 | ||
Bitterness in almonds | Q46810179 | ||
DrugBank 5.0: a major update to the DrugBank database for 2018. | Q47128239 | ||
FlavorDB: a database of flavor molecules | Q47170242 | ||
Role of Flavonols and Proanthocyanidins in the Sensory Quality of Sea Buckthorn (Hippophaë rhamnoides L.) Berries. | Q47441344 | ||
Lignins: Biosynthesis and Biological Functions in Plants. | Q49828172 | ||
Synergistic interactions of saponins and monoterpenes in HeLa cells, Cos7 cells and in erythrocytes. | Q51764767 | ||
y-Randomization and its variants in QSPR/QSAR. | Q51905625 | ||
BitterSweetForest: A Random Forest Based Binary Classifier to Predict Bitterness and Sweetness of Chemical Compounds. | Q52562576 | ||
e-Bitter: Bitterant Prediction by the Consensus Voting From the Machine-Learning Methods. | Q52590681 | ||
BitterDB: taste ligands and receptors database in 2019 | Q57793794 | ||
The Taste of Health: Nature's Bitter Gifts | Q78293773 | ||
Turnabout is fair play: Secondary roles for primary compounds | Q86745417 | ||
Iridoid glycosides in the nectar ofCatalpa speciosa are unpalatable to nectar thieves | Q87081639 | ||
Proanthocyanidins and Their Contribution to Sensory Attributes of Black Currant Juices | Q87327885 | ||
Sweetness prediction of natural compounds | Q88987464 | ||
P275 | copyright license | Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International | Q24082749 |
P6216 | copyright status | copyrighted | Q50423863 |
P433 | issue | 8 | |
P921 | main subject | natural product | Q901227 |
P577 | publication date | 2019-05-03 | |
P1433 | published in | Physical Sciences Reviews | Q96725931 |
P1476 | title | Mechanistic role of plant-based bitter principles and bitterness prediction for natural product studies II: prediction tools and case studies | |
P478 | volume | 4 |
Search more.