Natural Product: NPC185291

Natural Product IDNPC185291
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
FCMBHJYOOLTZKM-ZAMFQLPESA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 101720866
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0002049] Terpene glycosides
          • [CHEMONTID:0001580] Triterpene glycosides
            • [CHEMONTID:0002358] Triterpene saponins

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 FCMBHJYOOLTZKM-ZAMFQLPESA-N
Standard InCHI InChI=1S/C42H66O14/c1-20-27(44)29(46)30(47)33(53-20)56-32-28(45)23(19-43)54-34(31(32)48)55-26-11-12-39(5)24(37(26,2)3)10-13-41(7)25(39)9-8-21-22-18-38(4,35(49)50)14-16-42(22,36(51)52)17-15-40(21,41)6/h8,20,22-34,43-48H,9-19H2,1-7H3,(H,49,50)(H,51,52)/t20-,22-,23+,24-,25+,26-,27-,28+,29+,30+,31+,32-,33-,34-,38+,39-,40+,41+,42-/m0/s1
SMILES C[C@H]1[C@@H]([C@H]([C@H]([C@@H](O1)O[C@H]1[C@@H]([C@@H](CO)O[C@H]([C@@H]1O)O[C@H]1CC[C@@]2(C)[C@@H](CC[C@]3(C)[C@@H]2CC=C2[C@@H]4C[C@@](C)(CC[C@@]4(CC[C@@]32C)C(=O)O)C(=O)O)C1(C)C)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   794.45 Volume:   790.246
?
Van der Waals volume.
Dense:   1.005 LogP:   1.35
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.955
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.858
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   40.0
TPSA:   232.9
?
Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   8.0 Rings:   7.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.137 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.817 Fsp3:   0.905
MCE-18:   154.0
?
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:   0.911 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.006
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.207 Promiscuous compounds:   0.121

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.085 MDCK Permeability:   -5.202
Pgp-inhibitor:   0.0 Pgp-substrate:   0.002
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):   0.003
20% Bioavailability (F20%):   0.039 30% Bioavailability (F30%):   0.199
50% Bioavailability (F50%):   0.97

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.002 MRP1:   0.485
Plasma Protein Binding (PPB):   74.813% Volume Distribution (VD):   -0.556
Fu: 20.501%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.98 BCRP inhibitor:   0.0
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.003
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.001
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):  0.392 Half-life (T1/2):  3.906

ADMET: Toxicity

hERG Blockers:  0.011 hERG Blockers (10um):  0.006
Human Hepatotoxicity (H-HT):  0.758 Drug-induced Liver Injury (DILI):  0.99
AMES Toxicity:  0.44 Rat Oral Acute Toxicity:  0.026
Maximum Recommended Daily Dose:  0.017 Skin Sensitization:  1.0
Carcinogencity:  0.257 Eye Corrosion:  0.0
Eye Irritation:  0.004 Respiratory Toxicity:  0.155
Drug-induced Neurotoxicity:  0.001 Ototoxicity:  0.994
Hematotoxicity:  0.478 Drug-induced Nephrotoxicity:  0.948
Genotoxicity:  0.586 RPMI-8226 Immunitoxicity:  0.041
A549 Cytotoxicity:  0.069 Hek293 Cytotoxicity:  0.07
BCF:   0.452
?
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:   3.631
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.418
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.365
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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
NPO2270 Euptelea polyandra Species Eupteleaceae Eukaryota n.a. bark n.a. DOI[10.1021/np50040a042]
NPO2270 Euptelea polyandra Species Eupteleaceae Eukaryota n.a. n.a. n.a. PMID[2832544]
NPO2270 Euptelea polyandra Species Eupteleaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO2270 Euptelea polyandra Species Eupteleaceae 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

In vivo activity

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





 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 NPC185291 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
0.7419 Intermediate Similarity NPC270667
0.7347 Intermediate Similarity NPC114304
0.7113 Intermediate Similarity NPC114441
0.7111 Intermediate Similarity NPC606107
0.71 Intermediate Similarity NPC180550
0.71 Intermediate Similarity NPC35405
0.701 Intermediate Similarity NPC25605
0.6923 Remote Similarity NPC324875
0.6923 Remote Similarity NPC292677
0.6635 Remote Similarity NPC257468
0.6531 Remote Similarity NPC164194
0.65 Remote Similarity NPC56713
0.6452 Remote Similarity NPC204407
0.6436 Remote Similarity NPC109079
0.6429 Remote Similarity NPC166422
0.6429 Remote Similarity NPC219180
0.6429 Remote Similarity NPC251263
0.64 Remote Similarity NPC12288
0.6355 Remote Similarity NPC276093
0.6321 Remote Similarity NPC481082
0.6321 Remote Similarity NPC164419
0.6316 Remote Similarity NPC54636
0.6275 Remote Similarity NPC127056
0.6226 Remote Similarity NPC258885
0.6214 Remote Similarity NPC472949
0.6186 Remote Similarity NPC161717
0.6082 Remote Similarity NPC31839
0.6075 Remote Similarity NPC139044
0.6053 Remote Similarity NPC471384
0.6042 Remote Similarity NPC283849
0.604 Remote Similarity NPC211798
0.6036 Remote Similarity NPC475486
0.6019 Remote Similarity NPC174679
0.6019 Remote Similarity NPC279554
0.6 Remote Similarity NPC22956
0.5963 Remote Similarity NPC79718
0.5926 Remote Similarity NPC471383
0.5922 Remote Similarity NPC136877
0.5918 Remote Similarity NPC286347
0.5913 Remote Similarity NPC323341
0.5913 Remote Similarity NPC133818
0.5905 Remote Similarity NPC6377
0.5905 Remote Similarity NPC488561
0.5905 Remote Similarity NPC208381
0.5876 Remote Similarity NPC57362
0.5868 Remote Similarity NPC111466
0.5865 Remote Similarity NPC108748
0.5856 Remote Similarity NPC323359
0.5826 Remote Similarity NPC151543
0.5804 Remote Similarity NPC488564
0.5714 Remote Similarity NPC474589
0.5714 Remote Similarity NPC59804
0.5688 Remote Similarity NPC104400
0.5688 Remote Similarity NPC10320
0.5676 Remote Similarity NPC119794
0.5625 Remote Similarity NPC114484
0.5565 Remote Similarity NPC62725
0.5556 Remote Similarity NPC28198
0.5556 Remote Similarity NPC476123
0.5534 Remote Similarity NPC191410
0.5528 Remote Similarity NPC471385
0.5481 Remote Similarity NPC473481
0.5481 Remote Similarity NPC475472
0.5455 Remote Similarity NPC274507
0.5413 Remote Similarity NPC80843
0.5391 Remote Similarity NPC488209
0.5385 Remote Similarity NPC476992
0.5364 Remote Similarity NPC469945
0.5321 Remote Similarity NPC488516
0.5315 Remote Similarity NPC124296
0.5288 Remote Similarity NPC284807
0.5268 Remote Similarity NPC159309
0.5268 Remote Similarity NPC86222
0.5253 Remote Similarity NPC484195
0.5243 Remote Similarity NPC100383
0.5243 Remote Similarity NPC242611
0.5225 Remote Similarity NPC223301
0.5225 Remote Similarity NPC171544
0.5221 Remote Similarity NPC40085
0.5203 Remote Similarity NPC488211
0.5197 Remote Similarity NPC302543
0.5192 Remote Similarity NPC471967
0.5175 Remote Similarity NPC275668
0.5175 Remote Similarity NPC73829
0.5164 Remote Similarity NPC475140
0.5161 Remote Similarity NPC476068
0.5143 Remote Similarity NPC294112
0.5138 Remote Similarity NPC309780
0.5049 Remote Similarity NPC177246
0.5046 Remote Similarity NPC476882

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC185291 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