Natural Product: NPC209342

Natural Product IDNPC209342
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
ZHOLUHXKCIXGSR-SQXVBZLISA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0003568] Androstane steroids
          • [CHEMONTID:0001467] Androgens and derivatives

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 ZHOLUHXKCIXGSR-SQXVBZLISA-N
Standard InCHI InChI=1S/C19H24O3/c1-18-8-7-12(20)9-11(18)3-4-13-14-5-6-16(22)19(14,2)10-15(21)17(13)18/h7-9,13-15,17,21H,3-6,10H2,1-2H3/t13-,14+,15-,17-,18-,19-/m0/s1
SMILES C[C@]12C=CC(=O)C=C1CC[C@H]1[C@H]3CCC(=O)[C@@]3(C)C[C@@H]([C@@H]21)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   300.17 Volume:   318.779
?
Van der Waals volume.
Dense:   0.942 LogP:   1.554
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.934
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.732
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The logarithm of aqueous solubility value.
Rotatable Bonds:   0.0 Rigid Bonds:   22.0
TPSA:   54.37
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Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.748 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.191 Fsp3:   0.684
MCE-18:   67.188
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.751 Fluc inhibitor:   0.035
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.381
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.455 Promiscuous compounds:   0.584

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.874 MDCK Permeability:   -4.632
Pgp-inhibitor:   0.785 Pgp-substrate:   0.0
PAMPA:   0.274
?
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):   0.001
20% Bioavailability (F20%):   0.307 30% Bioavailability (F30%):   0.126
50% Bioavailability (F50%):   0.66

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.334 MRP1:   0.839
Plasma Protein Binding (PPB):   91.631% Volume Distribution (VD):   0.58
Fu: 9.666%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.905
OATP1B3 inhibitor:   0.94 BCRP inhibitor:   0.0
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.457 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.013 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.28
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.316
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.945
HLM stability:   0.151
?
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):  10.869 Half-life (T1/2):  1.491

ADMET: Toxicity

hERG Blockers:  0.098 hERG Blockers (10um):  0.384
Human Hepatotoxicity (H-HT):  0.558 Drug-induced Liver Injury (DILI):  0.124
AMES Toxicity:  0.32 Rat Oral Acute Toxicity:  0.776
Maximum Recommended Daily Dose:  0.952 Skin Sensitization:  0.716
Carcinogencity:  0.818 Eye Corrosion:  0.062
Eye Irritation:  0.945 Respiratory Toxicity:  0.857
Drug-induced Neurotoxicity:  0.611 Ototoxicity:  0.382
Hematotoxicity:  0.218 Drug-induced Nephrotoxicity:  0.36
Genotoxicity:  0.966 RPMI-8226 Immunitoxicity:  0.122
A549 Cytotoxicity:  0.018 Hek293 Cytotoxicity:  0.358
BCF:   0.578
?
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:   3.17
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.463
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.921
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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
NPO27960 Dioscorea polygonoides Species Dioscoreaceae Eukaryota tubers n.a. n.a. PMID[16038563]
NPO27960 Dioscorea polygonoides Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28674 Prunus verecunda Species Rosaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO18026 Bipolaris sacchari Species Pleosporaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28674 Prunus verecunda Species Rosaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28674 Prunus verecunda Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO18026 Bipolaris sacchari Species Pleosporaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2459 Verbesina acmella Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27960 Dioscorea polygonoides Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3952 Paracyclea ochiaiana n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO28674 Prunus verecunda Species Rosaceae 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 NPC209342 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
0.6538 Remote Similarity NPC54123
0.6481 Remote Similarity NPC257176
0.6102 Remote Similarity NPC334061
0.6 Remote Similarity NPC169375
0.5873 Remote Similarity NPC44063
0.5085 Remote Similarity NPC6434

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC209342 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
0.6491 Remote Similarity NPD6079 Phase 4
0.6481 Remote Similarity NPD3618 Phase 1
0.6102 Remote Similarity NPD4696 Phase 4
0.6 Remote Similarity NPD5211 Phase 2
0.5873 Remote Similarity NPD5697 Phase 4
0.5692 Remote Similarity NPD4729 Approved
0.5692 Remote Similarity NPD6899 Phase 4
0.5606 Remote Similarity NPD4730 Phase 4
0.5538 Remote Similarity NPD4632 Approved
0.5294 Remote Similarity NPD6054 Phase 4
0.5286 Remote Similarity NPD6882 Phase 4
0.5217 Remote Similarity NPD5983 Phase 2
0.5211 Remote Similarity NPD6333 Approved
0.5211 Remote Similarity NPD6334 Phase 4
0.5135 Remote Similarity NPD8297 Phase 4
0.507 Remote Similarity NPD6370 Phase 4

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