Natural Product: NPC218186

Natural Product IDNPC218186
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
PZJQZZOSDDOIDL-HKEGKLTRSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 16751607
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 PZJQZZOSDDOIDL-HKEGKLTRSA-N
Standard InCHI InChI=1S/C30H48O4/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/h16,18,20,23-28,32-33H,3,7-15,17H2,1-2,4-6H3/t20-,23+,24-,25+,26+,27-,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=C[C@H]3O)O)COC(=O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   472.36 Volume:   520.462
?
Van der Waals volume.
Dense:   0.908 LogP:   4.602
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.998
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.938
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   22.0
TPSA:   66.76
?
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:   0.349 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.843 Fsp3:   0.833
MCE-18:   73.818
?
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:   0.967 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.012
?
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:   0.255 Promiscuous compounds:   0.197

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.309 MDCK Permeability:   -5.034
Pgp-inhibitor:   0.04 Pgp-substrate:   0.025
PAMPA:   0.002
?
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%):   0.028 30% Bioavailability (F30%):   0.732
50% Bioavailability (F50%):   0.991

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.031 MRP1:   0.297
Plasma Protein Binding (PPB):   95.543% Volume Distribution (VD):   -0.247
Fu: 4.351%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.573
BSEP inhibitor:   0.42

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.007
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.011
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.007
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.122
CYP3A4-inhibitor:   0.999 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.886
?
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):  3.662 Half-life (T1/2):  1.345

ADMET: Toxicity

hERG Blockers:  0.088 hERG Blockers (10um):  0.258
Human Hepatotoxicity (H-HT):  0.546 Drug-induced Liver Injury (DILI):  0.406
AMES Toxicity:  0.594 Rat Oral Acute Toxicity:  0.136
Maximum Recommended Daily Dose:  0.558 Skin Sensitization:  0.985
Carcinogencity:  0.819 Eye Corrosion:  0.016
Eye Irritation:  0.829 Respiratory Toxicity:  0.689
Drug-induced Neurotoxicity:  0.085 Ototoxicity:  0.543
Hematotoxicity:  0.666 Drug-induced Nephrotoxicity:  0.525
Genotoxicity:  0.246 RPMI-8226 Immunitoxicity:  0.083
A549 Cytotoxicity:  0.372 Hek293 Cytotoxicity:  0.334
BCF:   1.684
?
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:   4.191
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.709
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.071
?
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 NPC218186 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 NPC489072
0.7 Intermediate Similarity NPC84694
0.7 Intermediate Similarity NPC143182
0.6774 Remote Similarity NPC209620
0.6087 Remote Similarity NPC234335
0.5735 Remote Similarity NPC475789
0.5714 Remote Similarity NPC81306
0.5538 Remote Similarity NPC109546
0.5538 Remote Similarity NPC47982
0.5455 Remote Similarity NPC28862
0.5455 Remote Similarity NPC134847
0.5417 Remote Similarity NPC219516
0.5373 Remote Similarity NPC23852
0.5373 Remote Similarity NPC317927
0.5303 Remote Similarity NPC189972
0.5294 Remote Similarity NPC87604
0.5286 Remote Similarity NPC186688
0.5263 Remote Similarity NPC476274
0.5217 Remote Similarity NPC474634
0.52 Remote Similarity NPC10274

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC218186 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