Natural Product: NPC477347

Natural Product IDNPC477347
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Thyrianthinic acid I
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-5-(3-hydroxy-2-methylbutanoyl)oxy-6-methyloxan-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 I
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 25137616
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 INEYXFPANCJADM-XMNBAWMDSA-N
Standard InCHI InChI=1S/C50H88O23/c1-9-11-17-20-30(21-18-15-13-12-14-16-19-22-32(53)54)67-48-42(35(57)33(55)27(6)64-48)73-50-43(36(58)34(56)31(23-51)68-50)72-49-44(70-45(62)24(3)10-2)39(61)41(29(8)66-49)71-47-38(60)37(59)40(28(7)65-47)69-46(63)25(4)26(5)52/h24-31,33-44,47-52,55-61H,9-23H2,1-8H3,(H,53,54)/t24?,25?,26?,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)O)OC(=O)C(C)CC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1056.57 Volume:   1033.396
?
Van der Waals volume.
Dense:   1.022 LogP:   2.886
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.889
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.91
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   31.0 Rigid Bonds:   27.0
TPSA:   345.81
?
Topological Polar Surface Area.
H-Bond Acceptor:   23.0
H-Bond Donor:   10.0 Rings:   4.0
Heavy Atoms:   23.0

MedChem Properties

QED Drug-Likeness Score:   0.037 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.384 Fsp3:   0.94
MCE-18:   94.082
?
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:   0.763 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.008
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.003
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.429 Promiscuous compounds:   0.092

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.632 MDCK Permeability:   -5.254
Pgp-inhibitor:   0.0 Pgp-substrate:   0.996
PAMPA:   1.0
?
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):   0.99
20% Bioavailability (F20%):   0.915 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.966
Plasma Protein Binding (PPB):   85.436% Volume Distribution (VD):   -0.329
Fu: 10.22%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.935
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.0
BSEP inhibitor:   0.001

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
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:   0.745
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):  0.654 Half-life (T1/2):  2.592

ADMET: Toxicity

hERG Blockers:  0.008 hERG Blockers (10um):  0.02
Human Hepatotoxicity (H-HT):  0.544 Drug-induced Liver Injury (DILI):  0.913
AMES Toxicity:  0.354 Rat Oral Acute Toxicity:  0.001
Maximum Recommended Daily Dose:  0.001 Skin Sensitization:  1.0
Carcinogencity:  0.007 Eye Corrosion:  0.0
Eye Irritation:  0.001 Respiratory Toxicity:  0.002
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.625 Drug-induced Nephrotoxicity:  0.9
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.165
A549 Cytotoxicity:  0.854 Hek293 Cytotoxicity:  0.154
BCF:   0.259
?
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:   3.926
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.8
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.034
?
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 = 2.6 ug/ml PMID[18826278]
NPT148 Cell line HCT-15 Homo sapiens ED50 > 5 ug/ml PMID[18826278]
NPT382 Cell line OVCAR-5 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 NPC477347 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 NPC477348
0.6739 Remote Similarity NPC297768
0.6413 Remote Similarity NPC477344
0.6344 Remote Similarity NPC478733
0.6304 Remote Similarity NPC478734
0.6289 Remote Similarity NPC224953
0.6162 Remote Similarity NPC44782
0.6129 Remote Similarity NPC477331
0.6129 Remote Similarity NPC477332
0.6122 Remote Similarity NPC184915
0.5922 Remote Similarity NPC475241
0.5918 Remote Similarity NPC238264
0.5918 Remote Similarity NPC483170
0.5918 Remote Similarity NPC477345
0.5859 Remote Similarity NPC115013
0.5816 Remote Similarity NPC119583
0.5773 Remote Similarity NPC478722
0.5773 Remote Similarity NPC479061
0.5773 Remote Similarity NPC60849
0.5758 Remote Similarity NPC478726
0.5714 Remote Similarity NPC479060
0.57 Remote Similarity NPC478732
0.5644 Remote Similarity NPC475270
0.5644 Remote Similarity NPC475327
0.56 Remote Similarity NPC476087
0.56 Remote Similarity NPC475667
0.5556 Remote Similarity NPC472205
0.5534 Remote Similarity NPC269318
0.5526 Remote Similarity NPC610997
0.551 Remote Similarity NPC109887
0.5495 Remote Similarity NPC478729
0.549 Remote Similarity NPC183888
0.549 Remote Similarity NPC126685
0.5455 Remote Similarity NPC478725
0.5446 Remote Similarity NPC610996
0.5437 Remote Similarity NPC472200
0.5426 Remote Similarity NPC477330
0.5408 Remote Similarity NPC479059
0.5392 Remote Similarity NPC238056
0.5351 Remote Similarity NPC600721
0.5351 Remote Similarity NPC605872
0.5347 Remote Similarity NPC478730
0.534 Remote Similarity NPC259294
0.5333 Remote Similarity NPC478728
0.5306 Remote Similarity NPC89843
0.5283 Remote Similarity NPC478727
0.5263 Remote Similarity NPC477328
0.5258 Remote Similarity NPC22742
0.5258 Remote Similarity NPC477346
0.5248 Remote Similarity NPC479058
0.5248 Remote Similarity NPC478723
0.5248 Remote Similarity NPC478724
0.5208 Remote Similarity NPC477329
0.5192 Remote Similarity NPC479057
0.5189 Remote Similarity NPC475164
0.5175 Remote Similarity NPC600672
0.514 Remote Similarity NPC473605
0.514 Remote Similarity NPC475375
0.5128 Remote Similarity NPC600940
0.5096 Remote Similarity NPC169345
0.5096 Remote Similarity NPC290012
0.5096 Remote Similarity NPC478731
0.5088 Remote Similarity NPC611287
0.5049 Remote Similarity NPC143421
0.5049 Remote Similarity NPC307400
0.5049 Remote Similarity NPC27289
0.5049 Remote Similarity NPC294748

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC477347 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