Natural Product: NPC142012

Natural Product IDNPC142012
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
WWEXTVPYKGAYFK-CCYMNORKSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 21579927
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 WWEXTVPYKGAYFK-CCYMNORKSA-N
Standard InCHI InChI=1S/C41H70O14/c1-36(2)24-10-14-39(6)25(15-20(43)27-19(9-13-40(27,39)7)41(8)16-21(44)33(50)37(3,4)55-41)38(24,5)12-11-26(36)53-35-32(30(48)29(47)23(17-42)52-35)54-34-31(49)28(46)22(45)18-51-34/h19-35,42-50H,9-18H2,1-8H3/t19-,20+,21-,22+,23+,24-,25+,26-,27-,28-,29+,30-,31+,32+,33+,34-,35-,38-,39+,40+,41-/m0/s1
SMILES CC1(C)[C@@H]2CC[C@]3(C)[C@H](C[C@H]([C@@H]4[C@H](CC[C@@]34C)[C@]3(C)C[C@@H]([C@H](C(C)(C)O3)O)O)O)[C@@]2(C)CC[C@@H]1O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O[C@H]1[C@@H]([C@H]([C@@H](CO1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   786.48 Volume:   780.86
?
Van der Waals volume.
Dense:   1.007 LogP:   2.473
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.921
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.537
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   38.0
TPSA:   228.22
?
Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   9.0 Rings:   7.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.171 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.031 Fsp3:   1.0
MCE-18:   155.707
?
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:   0.771 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.007
?
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:   0.186 Promiscuous compounds:   0.022

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.19 MDCK Permeability:   -5.039
Pgp-inhibitor:   0.005 Pgp-substrate:   0.714
PAMPA:   0.997
?
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):   0.054
20% Bioavailability (F20%):   0.634 30% Bioavailability (F30%):   0.952
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.022 MRP1:   0.603
Plasma Protein Binding (PPB):   78.027% Volume Distribution (VD):   -0.398
Fu: 14.772%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.008
BSEP inhibitor:   0.048

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.005 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.009 CYP3A4-substrate:   0.009
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.314
HLM stability:   0.863
?
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):  0.564 Half-life (T1/2):  2.465

ADMET: Toxicity

hERG Blockers:  0.01 hERG Blockers (10um):  0.04
Human Hepatotoxicity (H-HT):  0.398 Drug-induced Liver Injury (DILI):  0.173
AMES Toxicity:  0.833 Rat Oral Acute Toxicity:  0.013
Maximum Recommended Daily Dose:  0.012 Skin Sensitization:  1.0
Carcinogencity:  0.088 Eye Corrosion:  0.0
Eye Irritation:  0.008 Respiratory Toxicity:  0.009
Drug-induced Neurotoxicity:  0.001 Ototoxicity:  0.993
Hematotoxicity:  0.57 Drug-induced Nephrotoxicity:  0.977
Genotoxicity:  0.038 RPMI-8226 Immunitoxicity:  0.241
A549 Cytotoxicity:  0.732 Hek293 Cytotoxicity:  0.481
BCF:   1.153
?
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:   3.243
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.356
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.627
?
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
NPO12934 Gynostemma pentaphyllum Species Cucurbitaceae Eukaryota Stems n.a. n.a. PMID[20104880]
NPO12934 Gynostemma pentaphyllum Species Cucurbitaceae Eukaryota n.a. n.a. n.a. PMID[22342101]
NPO12934 Gynostemma pentaphyllum Species Cucurbitaceae Eukaryota aerial parts n.a. n.a. PMID[25895106]
NPO16506 Synotis alata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4305 Pertusaria wulfenii Species Pertusariaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12934 Gynostemma pentaphyllum Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO918 Dahlia pinnata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11990 Coleostephus myconis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12934 Gynostemma pentaphyllum Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO11990 Coleostephus myconis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO918 Dahlia pinnata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO11990 Coleostephus myconis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12934 Gynostemma pentaphyllum Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO918 Dahlia pinnata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO11990 Coleostephus myconis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO12934 Gynostemma pentaphyllum Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO4305 Pertusaria wulfenii Species Pertusariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11990 Coleostephus myconis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO918 Dahlia pinnata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16506 Synotis alata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12934 Gynostemma pentaphyllum Species Cucurbitaceae 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 NPC142012 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
0.6979 Remote Similarity NPC159005
0.6804 Remote Similarity NPC14946
0.6804 Remote Similarity NPC63368
0.6739 Remote Similarity NPC194842
0.6484 Remote Similarity NPC208477
0.6458 Remote Similarity NPC208650
0.6327 Remote Similarity NPC220427
0.5978 Remote Similarity NPC472897
0.5978 Remote Similarity NPC472896
0.5962 Remote Similarity NPC135369
0.587 Remote Similarity NPC159036
0.5851 Remote Similarity NPC472987
0.578 Remote Similarity NPC146868
0.5776 Remote Similarity NPC488293
0.5769 Remote Similarity NPC246124
0.5745 Remote Similarity NPC312553
0.5745 Remote Similarity NPC8039
0.5745 Remote Similarity NPC120123
0.5741 Remote Similarity NPC241381
0.5727 Remote Similarity NPC488294
0.5657 Remote Similarity NPC210759
0.5612 Remote Similarity NPC269627
0.5567 Remote Similarity NPC69737
0.5545 Remote Similarity NPC234160
0.5495 Remote Similarity NPC488292
0.5437 Remote Similarity NPC472988
0.5437 Remote Similarity NPC38217
0.5435 Remote Similarity NPC31907
0.5431 Remote Similarity NPC488291
0.5408 Remote Similarity NPC181467
0.5333 Remote Similarity NPC160816
0.5288 Remote Similarity NPC476360
0.5288 Remote Similarity NPC476361
0.5248 Remote Similarity NPC304011
0.5238 Remote Similarity NPC488561
0.5189 Remote Similarity NPC469946
0.514 Remote Similarity NPC305418
0.5138 Remote Similarity NPC472718
0.5102 Remote Similarity NPC45959
0.5098 Remote Similarity NPC472715
0.5098 Remote Similarity NPC236753
0.5094 Remote Similarity NPC65167
0.5091 Remote Similarity NPC6931

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC142012 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