Natural Product: NPC472942

Natural Product IDNPC472942
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
SZCAPUAJXOKPIR-IYLQEJNFSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3594160
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

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 SZCAPUAJXOKPIR-IYLQEJNFSA-N
Standard InCHI InChI=1S/C30H46O4/c1-19(8-7-9-20(17-31)18-32)23-16-26(34)30(6)22-10-11-24-27(2,3)25(33)13-14-28(24,4)21(22)12-15-29(23,30)5/h9-10,12,19,23-24,26,31-32,34H,7-8,11,13-18H2,1-6H3/t19-,23-,24+,26-,28-,29-,30-/m1/s1
SMILES CC(CCC=C(CO)CO)C1CC(C2(C1(CC=C3C2=CCC4C3(CCC(=O)C4(C)C)C)C)C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   470.34 Volume:   517.825
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Van der Waals volume.
Dense:   0.908 LogP:   3.388
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.534
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.552
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   22.0
TPSA:   77.76
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   3.0 Rings:   4.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.456 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.169 Fsp3:   0.767
MCE-18:   78.491
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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:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.341 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.01
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.254
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.422 Promiscuous compounds:   0.007

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.656 MDCK Permeability:   -4.687
Pgp-inhibitor:   0.035 Pgp-substrate:   0.039
PAMPA:   0.854
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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):   0.007
20% Bioavailability (F20%):   0.002 30% Bioavailability (F30%):   0.009
50% Bioavailability (F50%):   0.956

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.014 MRP1:   0.99
Plasma Protein Binding (PPB):   73.836% Volume Distribution (VD):   0.228
Fu: 29.058%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.02
OATP1B3 inhibitor:   0.919 BCRP inhibitor:   0.008
BSEP inhibitor:   0.98

ADMET: Metabolism

CYP1A2-inhibitor:   0.005 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.09 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.993 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.007
CYP3A4-inhibitor:   0.999 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.002 CYP2C8-inhibitor:   0.998
HLM stability:   0.014
?
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):  6.942 Half-life (T1/2):  0.924

ADMET: Toxicity

hERG Blockers:  0.103 hERG Blockers (10um):  0.36
Human Hepatotoxicity (H-HT):  0.471 Drug-induced Liver Injury (DILI):  0.015
AMES Toxicity:  0.173 Rat Oral Acute Toxicity:  0.074
Maximum Recommended Daily Dose:  0.754 Skin Sensitization:  0.407
Carcinogencity:  0.418 Eye Corrosion:  0.0
Eye Irritation:  0.076 Respiratory Toxicity:  0.345
Drug-induced Neurotoxicity:  0.353 Ototoxicity:  0.949
Hematotoxicity:  0.201 Drug-induced Nephrotoxicity:  0.156
Genotoxicity:  0.025 RPMI-8226 Immunitoxicity:  0.079
A549 Cytotoxicity:  0.129 Hek293 Cytotoxicity:  0.422
BCF:   0.669
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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:   3.566
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.318
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.167
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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
NPO33020 ganoderma leucocontextum Species Ganodermataceae Eukaryota fruiting bodies Tibetan n.a. PMID[26287401]

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
NPT1088 Individual protein 3-hydroxy-3-methylglutaryl-coenzyme A reductase Sus scrofa IC50 > 100000.0 nM PMID[18163584]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT111 Cell line K562 Homo sapiens IC50 = 76600.0 nM PMID[26351041]
NPT306 Cell line PC-3 Homo sapiens IC50 = 102900.0 nM PMID[25763602]
NPT2 Others Unspecified n.a. IC50 > 50000.0 nM PMID[8411013]

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 NPC472942 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
0.931 High Similarity NPC69622
0.931 High Similarity NPC607637
0.8361 Intermediate Similarity NPC250575
0.7463 Intermediate Similarity NPC285702
0.7463 Intermediate Similarity NPC166745
0.7463 Intermediate Similarity NPC235464
0.7302 Intermediate Similarity NPC311092
0.6769 Remote Similarity NPC4166
0.6286 Remote Similarity NPC472932
0.6154 Remote Similarity NPC147568
0.5735 Remote Similarity NPC170793
0.5641 Remote Similarity NPC166120
0.5571 Remote Similarity NPC89077
0.5556 Remote Similarity NPC44181
0.5556 Remote Similarity NPC606857
0.5479 Remote Similarity NPC138536
0.5286 Remote Similarity NPC201852
0.5278 Remote Similarity NPC472940
0.5139 Remote Similarity NPC472931
0.5135 Remote Similarity NPC87552
0.5125 Remote Similarity NPC484794
0.5125 Remote Similarity NPC94393
0.5067 Remote Similarity NPC472930

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC472942 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