Natural Product: NPC472940

Natural Product IDNPC472940
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
HZCCGGOBXSVZRJ-XRLJWPMHSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3594158
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 HZCCGGOBXSVZRJ-XRLJWPMHSA-N
Standard InCHI InChI=1S/C30H46O4/c1-19(8-7-9-20(17-31)18-32)21-10-15-30(6)26-22(11-14-29(21,30)5)28(4)13-12-25(34)27(2,3)24(28)16-23(26)33/h9,19,21,24,31-32H,7-8,10-18H2,1-6H3/t19-,21-,24+,28-,29-,30+/m1/s1
SMILES OCC(=CCC[C@H]([C@H]1CC[C@@]2([C@]1(C)CCC1=C2C(=O)C[C@@H]2[C@]1(C)CCC(=O)C2(C)C)C)C)CO

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   470.34 Volume:   517.825
?
Van der Waals volume.
Dense:   0.908 LogP:   3.438
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.634
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.593
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The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   23.0
TPSA:   74.6
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   2.0 Rings:   4.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.48 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.861 Fsp3:   0.8
MCE-18:   79.407
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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:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.642 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:   0.003
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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:   0.562 Promiscuous compounds:   0.567

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.72 MDCK Permeability:   -4.561
Pgp-inhibitor:   0.93 Pgp-substrate:   0.001
PAMPA:   0.536
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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):   0.001
20% Bioavailability (F20%):   0.017 30% Bioavailability (F30%):   0.06
50% Bioavailability (F50%):   0.819

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.089 MRP1:   0.923
Plasma Protein Binding (PPB):   73.828% Volume Distribution (VD):   0.313
Fu: 25.85%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.998
OATP1B3 inhibitor:   0.996 BCRP inhibitor:   0.116
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.002 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.31 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.023
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.998
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
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):  6.871 Half-life (T1/2):  0.813

ADMET: Toxicity

hERG Blockers:  0.009 hERG Blockers (10um):  0.063
Human Hepatotoxicity (H-HT):  0.595 Drug-induced Liver Injury (DILI):  0.064
AMES Toxicity:  0.301 Rat Oral Acute Toxicity:  0.098
Maximum Recommended Daily Dose:  0.303 Skin Sensitization:  0.99
Carcinogencity:  0.896 Eye Corrosion:  0.007
Eye Irritation:  0.562 Respiratory Toxicity:  0.499
Drug-induced Neurotoxicity:  0.033 Ototoxicity:  0.77
Hematotoxicity:  0.784 Drug-induced Nephrotoxicity:  0.876
Genotoxicity:  0.342 RPMI-8226 Immunitoxicity:  0.067
A549 Cytotoxicity:  0.098 Hek293 Cytotoxicity:  0.427
BCF:   0.839
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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:   3.65
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.397
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.53
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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 = 12600.0 nM PMID[1919590]

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 = 41600.0 nM PMID[19140696]
NPT306 Cell line PC-3 Homo sapiens IC50 > 200000.0 nM PMID[17958396]
NPT2 Others Unspecified n.a. IC50 > 50000.0 nM PMID[2553871]

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 NPC472940 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
0.9286 High Similarity NPC41539
0.8136 Intermediate Similarity NPC472931
0.8103 Intermediate Similarity NPC90965
0.7097 Intermediate Similarity NPC99909
0.7077 Intermediate Similarity NPC318332
0.6923 Remote Similarity NPC8571
0.6769 Remote Similarity NPC69454
0.6462 Remote Similarity NPC311092
0.6324 Remote Similarity NPC472930
0.6308 Remote Similarity NPC275740
0.6308 Remote Similarity NPC86319
0.6308 Remote Similarity NPC605549
0.597 Remote Similarity NPC4166
0.5775 Remote Similarity NPC472932
0.5571 Remote Similarity NPC162703
0.5441 Remote Similarity NPC484799
0.5342 Remote Similarity NPC601194
0.5286 Remote Similarity NPC259286
0.5286 Remote Similarity NPC83216
0.5286 Remote Similarity NPC484085
0.5278 Remote Similarity NPC472942
0.527 Remote Similarity NPC456
0.527 Remote Similarity NPC472941
0.527 Remote Similarity NPC202814
0.5263 Remote Similarity NPC478297
0.5217 Remote Similarity NPC110021
0.5217 Remote Similarity NPC474083
0.5217 Remote Similarity NPC170793
0.5217 Remote Similarity NPC482426
0.5211 Remote Similarity NPC142253
0.5211 Remote Similarity NPC3511
0.52 Remote Similarity NPC489798
0.5143 Remote Similarity NPC482424

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC472940 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