Natural Product: NPC489072

Natural Product IDNPC489072
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
JMBFXYIVLILKSU-AEXDIWAKSA-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:0003567] Ergostane steroids
          • [CHEMONTID:0001403] Ergosterols 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 JMBFXYIVLILKSU-AEXDIWAKSA-N
Standard InCHI InChI=1S/C30H46O4/c1-18(2)19(3)7-8-20(4)24-9-10-25-28-26(12-13-29(24,25)6)30(17-34-21(5)31)14-11-23(32)15-22(30)16-27(28)33/h16,18,20,23-26,28,32H,3,7-15,17H2,1-2,4-6H3/t20-,23+,24-,25+,26+,28+,29-,30-/m1/s1
SMILES CC(C)C(=C)CC[C@@H](C)[C@H]1CC[C@H]2[C@H]3[C@H](CC[C@]12C)[C@]1(CC[C@@H](CC1=CC3=O)O)COC(=O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   470.34 Volume:   517.825
?
Van der Waals volume.
Dense:   0.908 LogP:   4.788
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.004
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.974
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The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   23.0
TPSA:   63.6
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.351 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.744 Fsp3:   0.8
MCE-18:   73.037
?
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:   0.904 Fluc inhibitor:   0.009
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.014
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.001
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.265 Promiscuous compounds:   0.584

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.251 MDCK Permeability:   -4.999
Pgp-inhibitor:   0.185 Pgp-substrate:   0.01
PAMPA:   0.002
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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):   0.0
20% Bioavailability (F20%):   0.014 30% Bioavailability (F30%):   0.676
50% Bioavailability (F50%):   0.99

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.019 MRP1:   0.167
Plasma Protein Binding (PPB):   95.742% Volume Distribution (VD):   -0.34
Fu: 4.456%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.796
BSEP inhibitor:   0.852

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.002
CYP2C19-inhibitor:   0.003 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.007
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.458
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.816
?
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):  3.595 Half-life (T1/2):  1.162

ADMET: Toxicity

hERG Blockers:  0.069 hERG Blockers (10um):  0.207
Human Hepatotoxicity (H-HT):  0.668 Drug-induced Liver Injury (DILI):  0.698
AMES Toxicity:  0.479 Rat Oral Acute Toxicity:  0.059
Maximum Recommended Daily Dose:  0.432 Skin Sensitization:  0.967
Carcinogencity:  0.856 Eye Corrosion:  0.036
Eye Irritation:  0.881 Respiratory Toxicity:  0.446
Drug-induced Neurotoxicity:  0.176 Ototoxicity:  0.507
Hematotoxicity:  0.71 Drug-induced Nephrotoxicity:  0.553
Genotoxicity:  0.298 RPMI-8226 Immunitoxicity:  0.08
A549 Cytotoxicity:  0.161 Hek293 Cytotoxicity:  0.32
BCF:   1.679
?
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:   4.29
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.799
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.193
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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
NPO25976 Dendronephthya gigantea Species Nephtheidae Eukaryota n.a. n.a. n.a. PMID[10843584]
NPO25976 Dendronephthya gigantea Species Nephtheidae Eukaryota n.a. n.a. n.a. PMID[15497934]
NPO25976 Dendronephthya gigantea Species Nephtheidae Eukaryota n.a. n.a. n.a. PMID[30407007]
NPO25976 Dendronephthya gigantea Species Nephtheidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25976 Dendronephthya gigantea Species Nephtheidae 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
NPT681 Cell line PC-12 Rattus norvegicus Activity = 70.0 % PMID[30407007]

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 NPC489072 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
0.7385 Intermediate Similarity NPC218186
0.6875 Remote Similarity NPC186688
0.5909 Remote Similarity NPC31564
0.5909 Remote Similarity NPC145879
0.5775 Remote Similarity NPC599942
0.5672 Remote Similarity NPC26959
0.5606 Remote Similarity NPC134847
0.5556 Remote Similarity NPC234335
0.5429 Remote Similarity NPC268406
0.5373 Remote Similarity NPC84694
0.5373 Remote Similarity NPC143182
0.5362 Remote Similarity NPC474778
0.5362 Remote Similarity NPC474733
0.5342 Remote Similarity NPC219516
0.5286 Remote Similarity NPC58063
0.5217 Remote Similarity NPC87604
0.507 Remote Similarity NPC474732

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC489072 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