Natural Product: NPC477350

Natural Product IDNPC477350
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Tyrianthin 9
IUPAC Name [(1S,3R,4R,5R,6R,8S,10R,11R,12R,13R,15R,29R,30R,31R,33R)-4,5,11,12-tetrahydroxy-6-(hydroxymethyl)-13,31-dimethyl-27-oxo-17-pentyl-30-[(2R,3R,4R,5R,6R)-3,4,5-trihydroxy-6-methyloxan-2-yl]oxy-2,7,9,14,16,28,32-heptaoxatetracyclo[27.3.1.03,8.010,15]tritriacontan-33-yl] propanoate
Synonyms Tyrianthin 9
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 44579633
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 PVATZCKYGRERLI-XIZJVXPQSA-N
Standard InCHI InChI=1S/C43H74O20/c1-6-8-14-17-24-18-15-12-10-9-11-13-16-19-27(46)60-38-35(61-40-34(53)31(50)28(47)21(3)54-40)23(5)56-43(39(38)59-26(45)7-2)63-37-33(52)30(49)25(20-44)58-42(37)62-36-32(51)29(48)22(4)55-41(36)57-24/h21-25,28-44,47-53H,6-20H2,1-5H3/t21-,22-,23-,24?,25-,28+,29+,30+,31-,32-,33-,34-,35-,36-,37-,38-,39-,40-,41+,42+,43+/m1/s1
SMILES CCCCCC1CCCCCCCCCC(=O)O[C@@H]2[C@@H]([C@H](O[C@H]([C@@H]2OC(=O)CC)O[C@@H]3[C@@H]([C@H]([C@H](O[C@H]3O[C@@H]4[C@@H]([C@H]([C@H](O[C@H]4O1)C)O)O)CO)O)O)C)O[C@@H]5[C@@H]([C@@H]([C@H]([C@H](O5)C)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   910.48 Volume:   880.033
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Van der Waals volume.
Dense:   1.035 LogP:   1.934
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.718
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.456
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The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   44.0
TPSA:   288.28
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Topological Polar Surface Area.
H-Bond Acceptor:   20.0
H-Bond Donor:   8.0 Rings:   5.0
Heavy Atoms:   20.0

MedChem Properties

QED Drug-Likeness Score:   0.114 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.159 Fsp3:   0.953
MCE-18:   103.143
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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:   0.791 Fluc inhibitor:   0.325
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.004
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.001
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.45 Promiscuous compounds:   0.147

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.757 MDCK Permeability:   -4.933
Pgp-inhibitor:   0.0 Pgp-substrate:   0.976
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):   0.362
20% Bioavailability (F20%):   0.192 30% Bioavailability (F30%):   0.693
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.992
Plasma Protein Binding (PPB):   77.95% Volume Distribution (VD):   -0.231
Fu: 13.277%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.309
OATP1B3 inhibitor:   0.941 BCRP inhibitor:   0.001
BSEP inhibitor:   0.625

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.006
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.962
HLM stability:   0.993
?
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):  0.675 Half-life (T1/2):  2.541

ADMET: Toxicity

hERG Blockers:  0.008 hERG Blockers (10um):  0.164
Human Hepatotoxicity (H-HT):  0.78 Drug-induced Liver Injury (DILI):  0.997
AMES Toxicity:  0.976 Rat Oral Acute Toxicity:  0.007
Maximum Recommended Daily Dose:  0.006 Skin Sensitization:  1.0
Carcinogencity:  0.001 Eye Corrosion:  0.0
Eye Irritation:  0.009 Respiratory Toxicity:  0.007
Drug-induced Neurotoxicity:  0.012 Ototoxicity:  0.999
Hematotoxicity:  0.961 Drug-induced Nephrotoxicity:  0.977
Genotoxicity:  0.001 RPMI-8226 Immunitoxicity:  0.574
A549 Cytotoxicity:  0.998 Hek293 Cytotoxicity:  0.566
BCF:   0.46
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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:   3.215
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.84
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.858
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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 = 2.5 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 NPC477350 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
0.8714 High Similarity NPC22742
0.8714 High Similarity NPC477349
0.8714 High Similarity NPC477346
0.8082 Intermediate Similarity NPC604005
0.8082 Intermediate Similarity NPC605014
0.7867 Intermediate Similarity NPC600446
0.7867 Intermediate Similarity NPC605013
0.7639 Intermediate Similarity NPC146380
0.7532 Intermediate Similarity NPC109887
0.7432 Intermediate Similarity NPC281563
0.7403 Intermediate Similarity NPC477344
0.7403 Intermediate Similarity NPC477326
0.7273 Intermediate Similarity NPC478734
0.725 Intermediate Similarity NPC472204
0.7237 Intermediate Similarity NPC113745
0.7237 Intermediate Similarity NPC477320
0.7237 Intermediate Similarity NPC477323
0.7237 Intermediate Similarity NPC477325
0.7237 Intermediate Similarity NPC609436
0.7222 Intermediate Similarity NPC606819
0.7215 Intermediate Similarity NPC146992
0.7215 Intermediate Similarity NPC85759
0.7089 Intermediate Similarity NPC478733
0.7051 Intermediate Similarity NPC89843
0.7037 Intermediate Similarity NPC294748
0.6988 Remote Similarity NPC184915
0.6988 Remote Similarity NPC259294
0.6986 Remote Similarity NPC478729
0.6974 Remote Similarity NPC477329
0.6933 Remote Similarity NPC475425
0.6914 Remote Similarity NPC297768
0.6914 Remote Similarity NPC173328
0.6867 Remote Similarity NPC238056
0.6829 Remote Similarity NPC186992
0.6824 Remote Similarity NPC44782
0.679 Remote Similarity NPC267592
0.6786 Remote Similarity NPC183888
0.6786 Remote Similarity NPC224953
0.6769 Remote Similarity NPC206823
0.6747 Remote Similarity NPC238264
0.6747 Remote Similarity NPC483170
0.6747 Remote Similarity NPC477345
0.6707 Remote Similarity NPC478724
0.6667 Remote Similarity NPC169345
0.6627 Remote Similarity NPC307400
0.6627 Remote Similarity NPC27289
0.6627 Remote Similarity NPC119583
0.6623 Remote Similarity NPC477328
0.6623 Remote Similarity NPC477330
0.6588 Remote Similarity NPC126685
0.6543 Remote Similarity NPC158302
0.6522 Remote Similarity NPC28069
0.6506 Remote Similarity NPC477319
0.6471 Remote Similarity NPC115013
0.6429 Remote Similarity NPC143421
0.6386 Remote Similarity NPC478725
0.6364 Remote Similarity NPC478728
0.6341 Remote Similarity NPC216883
0.6322 Remote Similarity NPC123204
0.631 Remote Similarity NPC478723
0.631 Remote Similarity NPC476781
0.6292 Remote Similarity NPC478727
0.6279 Remote Similarity NPC290012
0.622 Remote Similarity NPC477331
0.622 Remote Similarity NPC477332
0.619 Remote Similarity NPC478722
0.617 Remote Similarity NPC77651
0.6163 Remote Similarity NPC478726
0.5979 Remote Similarity NPC290276
0.5955 Remote Similarity NPC163409
0.5941 Remote Similarity NPC472352
0.5909 Remote Similarity NPC478731
0.5862 Remote Similarity NPC478730
0.5795 Remote Similarity NPC476087
0.5795 Remote Similarity NPC475667
0.5789 Remote Similarity NPC124878
0.5789 Remote Similarity NPC231888
0.5778 Remote Similarity NPC472200
0.5747 Remote Similarity NPC472205
0.573 Remote Similarity NPC478732
0.573 Remote Similarity NPC477317
0.573 Remote Similarity NPC477318
0.5729 Remote Similarity NPC35338
0.5729 Remote Similarity NPC204214
0.5729 Remote Similarity NPC92283
0.5667 Remote Similarity NPC475270
0.5667 Remote Similarity NPC475327
0.5657 Remote Similarity NPC10883
0.5652 Remote Similarity NPC476783
0.5638 Remote Similarity NPC475241
0.5632 Remote Similarity NPC479061
0.5631 Remote Similarity NPC471026
0.5604 Remote Similarity NPC475525
0.5604 Remote Similarity NPC475540
0.5568 Remote Similarity NPC44682
0.5568 Remote Similarity NPC479060
0.5567 Remote Similarity NPC63404
0.5543 Remote Similarity NPC476066
0.5543 Remote Similarity NPC269318
0.5507 Remote Similarity NPC241265
0.55 Remote Similarity NPC10121
0.55 Remote Similarity NPC198918
0.5484 Remote Similarity NPC475164
0.5426 Remote Similarity NPC473605
0.5426 Remote Similarity NPC475375
0.5426 Remote Similarity NPC476782
0.5392 Remote Similarity NPC471025
0.5385 Remote Similarity NPC600940
0.5362 Remote Similarity NPC76881
0.5227 Remote Similarity NPC479059
0.5205 Remote Similarity NPC190418
0.5192 Remote Similarity NPC600721
0.5192 Remote Similarity NPC605872
0.5179 Remote Similarity NPC147032
0.5093 Remote Similarity NPC471024
0.5049 Remote Similarity NPC611287

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC477350 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