Natural Product: NPC326080

Natural Product IDNPC326080
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
CBMYJHIOYJEBSB-UHFFFAOYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 11301
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 CBMYJHIOYJEBSB-UHFFFAOYSA-N
Standard InCHI InChI=1S/C19H32O2/c1-18-9-7-13(20)11-12(18)3-4-14-15-5-6-17(21)19(15,2)10-8-16(14)18/h12-17,20-21H,3-11H2,1-2H3
SMILES CC12CCC(CC1CCC3C2CCC4(C3CCC4O)C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   292.24 Volume:   320.535
?
Van der Waals volume.
Dense:   0.912 LogP:   3.956
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.84
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.397
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   0.0 Rigid Bonds:   20.0
TPSA:   40.46
?
Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   2.0 Rings:   4.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.714 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.007 Fsp3:   1.0
MCE-18:   69.474
?
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:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.062 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.019
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.006
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.609 Promiscuous compounds:   0.018

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.573 MDCK Permeability:   -4.868
Pgp-inhibitor:   0.002 Pgp-substrate:   0.858
PAMPA:   0.96
?
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):   0.651
20% Bioavailability (F20%):   0.887 30% Bioavailability (F30%):   0.963
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.207 MRP1:   0.986
Plasma Protein Binding (PPB):   68.876% Volume Distribution (VD):   -0.098
Fu: 29.492%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.003
OATP1B3 inhibitor:   0.367 BCRP inhibitor:   0.162
BSEP inhibitor:   0.189

ADMET: Metabolism

CYP1A2-inhibitor:   0.002 CYP1A2-substrate:   0.045
CYP2C19-inhibitor:   0.887 CYP2C19-substrate:   0.513
CYP2C9-inhibitor:   0.791 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.998 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.007 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.999 CYP2C8-inhibitor:   0.259
HLM stability:   0.532
?
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):  23.16 Half-life (T1/2):  2.469

ADMET: Toxicity

hERG Blockers:  0.189 hERG Blockers (10um):  0.662
Human Hepatotoxicity (H-HT):  0.64 Drug-induced Liver Injury (DILI):  0.09
AMES Toxicity:  0.176 Rat Oral Acute Toxicity:  0.063
Maximum Recommended Daily Dose:  0.565 Skin Sensitization:  0.128
Carcinogencity:  0.5 Eye Corrosion:  0.114
Eye Irritation:  0.816 Respiratory Toxicity:  0.757
Drug-induced Neurotoxicity:  0.153 Ototoxicity:  0.811
Hematotoxicity:  0.094 Drug-induced Nephrotoxicity:  0.071
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.027
A549 Cytotoxicity:  0.263 Hek293 Cytotoxicity:  0.24
BCF:   1.752
?
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:   3.962
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.344
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.626
?
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
NPO31003 Moschus sifanicus Species Moschidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO463 Moschus berezovskii Species Moschidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2646 Moschus moschiferus Species Moschidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO31003 Moschus sifanicus Species Moschidae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO2646 Moschus moschiferus Species Moschidae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO463 Moschus berezovskii Species Moschidae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO463 Moschus berezovskii Species Moschidae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO31003 Moschus sifanicus Species Moschidae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO2646 Moschus moschiferus Species Moschidae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO2646 Moschus moschiferus Species Moschidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO463 Moschus berezovskii Species Moschidae 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 NPC326080 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
1.0 High Similarity NPC281540
1.0 High Similarity NPC159654
1.0 High Similarity NPC167995
1.0 High Similarity NPC118937
0.6818 Remote Similarity NPC44122
0.6512 Remote Similarity NPC114891
0.617 Remote Similarity NPC324607
0.617 Remote Similarity NPC321732
0.6087 Remote Similarity NPC320549
0.6087 Remote Similarity NPC156277
0.6087 Remote Similarity NPC58057
0.6087 Remote Similarity NPC151018
0.5957 Remote Similarity NPC71460
0.5957 Remote Similarity NPC218585
0.5833 Remote Similarity NPC327728
0.5833 Remote Similarity NPC6120
0.5833 Remote Similarity NPC148174
0.5833 Remote Similarity NPC131892
0.5833 Remote Similarity NPC213178
0.5714 Remote Similarity NPC254340
0.5283 Remote Similarity NPC167702
0.5283 Remote Similarity NPC192456
0.5283 Remote Similarity NPC280026
0.5094 Remote Similarity NPC477820

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC326080 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
0.617 Remote Similarity NPD3698 Phase 2
0.6087 Remote Similarity NPD4808 Phase 2
0.6087 Remote Similarity NPD4809 Phase 4
0.5833 Remote Similarity NPD3699 Clinical (unspecified phase)
0.5833 Remote Similarity NPD3700 Clinical (unspecified phase)
0.5714 Remote Similarity NPD4245 Pre-clinical
0.5714 Remote Similarity NPD4787 Phase 1
0.5385 Remote Similarity NPD3671 Phase 1
0.5283 Remote Similarity NPD6113 Clinical (unspecified phase)
0.52 Remote Similarity NPD4244 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