Natural Product: NPC477348

Natural Product IDNPC477348
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Thyrianthinic acid II
IUPAC Name (11R)-11-[(2R,3R,4S,5S,6R)-3-[(2S,3R,4S,5S,6R)-3-[(2S,3R,4R,5R,6S)-5-[(2S,3R,4R,5S,6R)-3,4-dihydroxy-6-methyl-5-[(E)-2-methylbut-2-enoyl]oxyoxan-2-yl]oxy-4-hydroxy-6-methyl-3-(2-methylbutanoyloxy)oxan-2-yl]oxy-4,5-dihydroxy-6-(hydroxymethyl)oxan-2-yl]oxy-4,5-dihydroxy-6-methyloxan-2-yl]oxyhexadecanoic acid
Synonyms Thyrianthinic acid II
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 25135430
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0000011] Carbohydrates and carbohydrate conjugates
          • [CHEMONTID:0000198] Oligosaccharides

The Chemical Classification was calculated by Classyfire, a software for chemical taxonomy calculation. Reference: DOI:10.1186/s13321-016-0174-y.

  Chemical Representations

Standard InCHIKey JOEODRFAFPATFF-ZPDOANOZSA-N
Standard InCHI InChI=1S/C50H86O22/c1-9-12-18-21-30(22-19-16-14-13-15-17-20-23-32(52)53)66-48-42(35(56)33(54)27(6)63-48)72-50-43(36(57)34(55)31(24-51)67-50)71-49-44(69-46(62)26(5)11-3)39(60)41(29(8)65-49)70-47-38(59)37(58)40(28(7)64-47)68-45(61)25(4)10-2/h10,26-31,33-44,47-51,54-60H,9,11-24H2,1-8H3,(H,52,53)/b25-10+/t26?,27-,28-,29+,30-,31-,33-,34-,35+,36+,37-,38-,39-,40-,41+,42-,43-,44-,47+,48+,49+,50+/m1/s1
SMILES CCCCC[C@H](CCCCCCCCCC(=O)O)O[C@H]1[C@@H]([C@H]([C@@H]([C@H](O1)C)O)O)O[C@H]2[C@@H]([C@H]([C@@H]([C@H](O2)CO)O)O)O[C@H]3[C@@H]([C@@H]([C@H]([C@@H](O3)C)O[C@H]4[C@@H]([C@H]([C@@H]([C@H](O4)C)OC(=O)/C(=C/C)/C)O)O)O)OC(=O)C(C)CC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1038.56 Volume:   1021.969
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Van der Waals volume.
Dense:   1.016 LogP:   3.655
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.44
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.026
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The logarithm of aqueous solubility value.
Rotatable Bonds:   30.0 Rigid Bonds:   28.0
TPSA:   325.58
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Topological Polar Surface Area.
H-Bond Acceptor:   22.0
H-Bond Donor:   9.0 Rings:   4.0
Heavy Atoms:   22.0

MedChem Properties

QED Drug-Likeness Score:   0.031 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.302 Fsp3:   0.9
MCE-18:   92.0
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.909 Fluc inhibitor:   0.254
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.005
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.005
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.472 Promiscuous compounds:   0.187

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.621 MDCK Permeability:   -5.287
Pgp-inhibitor:   0.0 Pgp-substrate:   0.98
PAMPA:   1.0
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The experimental data for Peff was logarithmically transformed (logPeff). Molecules with log Peff values below 2.0 were classified as low-permeability (Category 0), while those with log Peff values exceeding 2.5 were classified as high-permeability (Category 1).
Human Intestinal Absorption (HIA):   0.999
20% Bioavailability (F20%):   0.987 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.957
Plasma Protein Binding (PPB):   90.545% Volume Distribution (VD):   -0.394
Fu: 7.4%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.991
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.0
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.958
HLM stability:   0.0
?
Human liver microsomal (HLM) stability. Category 0: stable+ (HLM > 30 min); Category 1: unstable- (HLM ≤ 30 min). The output value is the probability of human liver microsomal instability, where a value closer to 1 indicates a higher likelihood of instability.

ADMET: Excretion

Clearance (CL):  0.678 Half-life (T1/2):  2.497

ADMET: Toxicity

hERG Blockers:  0.008 hERG Blockers (10um):  0.02
Human Hepatotoxicity (H-HT):  0.509 Drug-induced Liver Injury (DILI):  0.957
AMES Toxicity:  0.411 Rat Oral Acute Toxicity:  0.002
Maximum Recommended Daily Dose:  0.001 Skin Sensitization:  1.0
Carcinogencity:  0.011 Eye Corrosion:  0.0
Eye Irritation:  0.003 Respiratory Toxicity:  0.006
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.999
Hematotoxicity:  0.626 Drug-induced Nephrotoxicity:  0.951
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.195
A549 Cytotoxicity:  0.891 Hek293 Cytotoxicity:  0.243
BCF:   0.371
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Bioconcentration factors are used for considering secondary poisoning potential and assessing risks to human health via the food chain. The unit is -log10[(mg/L)/(1000*MW)].
IGC50:   4.079
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.811
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.103
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96 hour fathead minnow LC50. The unit of LC50FM is -log10[(mg/L)/(1000*MW)].

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO4441 Ipomoea tyrianthina Species Convolvulaceae Eukaryota roots n.a. n.a. PMID[17309299]
NPO4441 Ipomoea tyrianthina Species Convolvulaceae Eukaryota Roots states of Puebla, Morelos, and Distrito Federal, Mexico 2000-2005 PMID[18826278]
NPO4441 Ipomoea tyrianthina Species Convolvulaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4441 Ipomoea tyrianthina Species Convolvulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]

Note for Reference:
In addition to directly collecting NP source organism data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated them from below databases:
UNPD: Universal Natural Products Database [PMID: 23638153].
StreptomeDB: a database of streptomycetes natural products [PMID: 33051671].
TM-MC: a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine [PMID: 26156871].
TCM@Taiwan: a Traditional Chinese Medicine database [PMID: 21253603].
TCMID: a Traditional Chinese Medicine database [PMID: 29106634].
TCMSP: The traditional Chinese medicine systems pharmacology database and analysis platform [PMID: 24735618].
HerDing: a herb recommendation system to treat diseases using genes and chemicals [PMID: 26980517].
MetaboLights: a metabolomics database [PMID: 27010336].
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].



  NP Quantity Composition/Concentration

Organism ID Organism Name Organism Material Preparation Organism Part NP Quantity (Standard) NP Quantity (Minimum) NP Quantity (Maximum) Quantity Unit Reference

Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP quantitative records for specific NP domains (e.g., NPS from foods or herbs) from domain-specific databases. These databases include:
DUKE: Dr. Duke's Phytochemical and Ethnobotanical Databases.
PHENOL EXPLORER: is the first comprehensive database on polyphenol content in foods [PMID: 24103452], its homepage can be accessed at here.
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].



 Biological Activity

Molecular-level activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT91 Cell line KB Homo sapiens ED50 = 2.8 ug/ml PMID[18826278]
NPT382 Cell line OVCAR-5 Homo sapiens ED50 > 5 ug/ml PMID[18826278]
NPT148 Cell line HCT-15 Homo sapiens ED50 > 5 ug/ml PMID[18826278]
NPT88 Organism Mycobacterium tuberculosis Mycobacterium tuberculosis MIC = 25 ug/ml PMID[18826278]
NPT2 Others Unspecified n.a. ED50 > 5 ug/ml PMID[18826278]

In vivo activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT32 Organism Mus musculus Mus musculus Activity = 70 % PMID[18826278]





 Experimental ADME

Experiment Model Experiment Tissue ADME Type ADME Relation ADME Value ADME Unit Reference





 Experimental Toxicity

Quantitative toxicity

Experiment Model Experiment Organism Toxicity Type Toxicity Relation Toxicity Value Toxicity Unit Reference

Common Abbreviations:
LC: Lethal Concentration; LD: Lethal Dose; LT:Lethal Time; NOAEL: No-observed-adverse-effect Level; BMDL: Benchmark Dose Lower Confidence Limit; BMD: Benchmark Dose; BMC:Benchmark Concentration; LOAEL: Lowest Observed Adverse Effect Level; RfD:Reference Dose; RfC:Reference Concentration; MRL: Minimal Risk Level; MEG: Maximum Exposure Guideline; PAC: Protective Action Criteria

Categorical toxicity labels

Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption
Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption

Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP toxicity records from domain-specific databases. These databases include:
ToxValDB: a curated database that compiles quantitative toxicity values for chemicals from diverse public sources to support toxicological research and risk assessment.
TOXRIC: a comprehensive, free-to-access, online database providing toxicological/feature data. The toxicity labels are retrieved from this database. [PMID: 36400569]


  Chemically structural similarity

Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes approximately 50,000 NPs with experimentally-derived bioactivity available in NPASS)

Similarity is measured using the Tanimoto coefficient (Tc) , which compares the binary fingerprints of two molecules. Tc is calculated as the intersection divided by the union of '1' bits in the fingerprints, ranging from 0 to 1, with 1 indicating highest similarity.

●  The left chart: Distribution of similarity level between NPC477348 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.5 or Top200).

Similarity Score Similarity Level Natural Product ID
0.8736 High Similarity NPC477347
0.6915 Remote Similarity NPC238264
0.6915 Remote Similarity NPC477345
0.6774 Remote Similarity NPC479061
0.6702 Remote Similarity NPC479060
0.6214 Remote Similarity NPC475241
0.6211 Remote Similarity NPC477344
0.6146 Remote Similarity NPC478733
0.6105 Remote Similarity NPC478734
0.61 Remote Similarity NPC224953
0.602 Remote Similarity NPC297768
0.598 Remote Similarity NPC44782
0.5941 Remote Similarity NPC184915
0.5938 Remote Similarity NPC477331
0.5769 Remote Similarity NPC475164
0.5743 Remote Similarity NPC483170
0.5686 Remote Similarity NPC115013
0.5644 Remote Similarity NPC119583
0.5619 Remote Similarity NPC478728
0.5566 Remote Similarity NPC473605
0.5566 Remote Similarity NPC475375
0.55 Remote Similarity NPC109887
0.5484 Remote Similarity NPC478729
0.5481 Remote Similarity NPC479057
0.5455 Remote Similarity NPC477332
0.5429 Remote Similarity NPC475525
0.5429 Remote Similarity NPC475540
0.5417 Remote Similarity NPC477330
0.5392 Remote Similarity NPC472205
0.5333 Remote Similarity NPC183888
0.5333 Remote Similarity NPC126685
0.53 Remote Similarity NPC89843
0.5288 Remote Similarity NPC478726
0.5283 Remote Similarity NPC472200
0.5258 Remote Similarity NPC477328
0.5253 Remote Similarity NPC22742
0.5253 Remote Similarity NPC477349
0.5253 Remote Similarity NPC477346
0.5234 Remote Similarity NPC476066
0.5234 Remote Similarity NPC269318
0.5204 Remote Similarity NPC477329
0.5189 Remote Similarity NPC259294
0.5146 Remote Similarity NPC478722
0.5146 Remote Similarity NPC60849
0.5143 Remote Similarity NPC476087
0.5143 Remote Similarity NPC475667
0.514 Remote Similarity NPC163409
0.5094 Remote Similarity NPC169345
0.5094 Remote Similarity NPC478732
0.5048 Remote Similarity NPC294748
0.5047 Remote Similarity NPC475270
0.5047 Remote Similarity NPC475327
0.5043 Remote Similarity NPC600672

Similar Clinical/Approved Drugs

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules.

●  The left chart: Distribution of similarity level between NPC477348 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.5 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage
NPD

Bioactivity similarity

  Bioactivity similarity

Similar Natural Products in NPASS

Similarity level is defined by Bioactivity similarity was calculated based on bioactivity descriptors of compounds. The bioactivity descriptors were calculated by a recently developed AI algorithm Chemical Checker (CC) [Nature Biotechnology, 38:1087–1096, 2020; Nature Communications, 12:3932, 2021], which evaluated bioactivity similarities at five levels:
A: chemistry similarity;
B: biological targets similarity;
C: networks similarity;
D: cell-based bioactivity similarity;
E: similarity based on clinical data.
Those 5 categories of CC bioactivity descriptors were calculated and then subjected to manifold projection using UMAP algorithm, to project all NPs on a 2-Dimensional space. The current NP was highlighted with a small circle in the 2-D map. Below figures: left-to-right, A-to-E.

A: chemistry similarity
B: biological targets similarity
C: networks similarity
D: cell-based bioactivity similarity
E: similarity based on clinical data