Natural Product: NPC176107

Natural Product IDNPC176107
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Dendronesterone C
IUPAC Name (8S,9S,10R,13R,14S,17R)-10,13-dimethyl-17-[(E,2R)-6-methylhept-3-en-2-yl]-6,7,8,9,11,12,14,15,16,17-decahydrocyclopenta[a]phenanthren-3-one
Synonyms Dendronesterone C
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL457600
PubChem CID 11176468
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0003566] Cholestane steroids
          • [CHEMONTID:0001469] Cholesterols 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 AJWONNNXQUONDT-UAJHHUEASA-N
Standard InCHI InChI=1S/C27H40O/c1-18(2)7-6-8-19(3)23-11-12-24-22-10-9-20-17-21(28)13-15-26(20,4)25(22)14-16-27(23,24)5/h6,8,13,15,17-19,22-25H,7,9-12,14,16H2,1-5H3/b8-6+/t19-,22+,23-,24+,25+,26+,27-/m1/s1
SMILES CC(C/C=C/[C@H]([C@H]1CC[C@@H]2[C@]1(C)CC[C@H]1[C@H]2CCC2=CC(=O)C=C[C@]12C)C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   380.31 Volume:   439.567
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Van der Waals volume.
Dense:   0.865 LogP:   6.022
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.322
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.047
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   22.0
TPSA:   17.07
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Topological Polar Surface Area.
H-Bond Acceptor:   1.0
H-Bond Donor:   0.0 Rings:   4.0
Heavy Atoms:   1.0

MedChem Properties

QED Drug-Likeness Score:   0.473 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.42 Fsp3:   0.741
MCE-18:   65.277
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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:   0.959 Fluc inhibitor:   0.312
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.036
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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:   0.714 Promiscuous compounds:   0.146

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.136 MDCK Permeability:   -4.851
Pgp-inhibitor:   0.998 Pgp-substrate:   0.0
PAMPA:   0.0
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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%):   0.05 30% Bioavailability (F30%):   0.548
50% Bioavailability (F50%):   0.983

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.003 MRP1:   0.033
Plasma Protein Binding (PPB):   98.818% Volume Distribution (VD):   0.467
Fu: 1.008%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.049
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.968
CYP2C19-inhibitor:   0.169 CYP2C19-substrate:   0.036
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.642
CYP2D6-inhibitor:   0.002 CYP2D6-substrate:   0.998
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.996
?
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):  11.614 Half-life (T1/2):  0.241

ADMET: Toxicity

hERG Blockers:  0.233 hERG Blockers (10um):  0.577
Human Hepatotoxicity (H-HT):  0.84 Drug-induced Liver Injury (DILI):  0.183
AMES Toxicity:  0.068 Rat Oral Acute Toxicity:  0.335
Maximum Recommended Daily Dose:  0.94 Skin Sensitization:  0.962
Carcinogencity:  0.9 Eye Corrosion:  0.34
Eye Irritation:  0.991 Respiratory Toxicity:  0.976
Drug-induced Neurotoxicity:  0.213 Ototoxicity:  0.461
Hematotoxicity:  0.41 Drug-induced Nephrotoxicity:  0.301
Genotoxicity:  0.563 RPMI-8226 Immunitoxicity:  0.069
A549 Cytotoxicity:  0.053 Hek293 Cytotoxicity:  0.684
BCF:   3.218
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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:   4.952
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.891
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.922
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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]
NPO33357 lemnalia carvicorni Species Nephtheidae Eukaryota n.a. n.a. n.a. PMID[15497934]
NPO25976 Dendronephthya gigantea Species Nephtheidae Eukaryota n.a. n.a. n.a. PMID[15497934]
NPO14183 Dendronephthya studeri Species Nephtheidae Eukaryota n.a. at a depth of 20 m, the coast of Xiaodong Sea, Hainan Province, China 2001-DEC PMID[21192715]
NPO14183 Dendronephthya studeri Species Nephtheidae Eukaryota n.a. n.a. n.a. PMID[21192715]
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]
NPO14183 Dendronephthya studeri 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
NPT139 Cell line HT-29 Homo sapiens ED50 > 100.0 uM PMID[15497934]
NPT168 Cell line P388 Mus musculus ED50 > 100.0 uM PMID[15497934]

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 NPC176107 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
0.7551 Intermediate Similarity NPC92327
0.7547 Intermediate Similarity NPC105197
0.7273 Intermediate Similarity NPC474463
0.6066 Remote Similarity NPC190211
0.6066 Remote Similarity NPC218301
0.6066 Remote Similarity NPC273199
0.5968 Remote Similarity NPC608739
0.5873 Remote Similarity NPC255309
0.5818 Remote Similarity NPC54123
0.5606 Remote Similarity NPC177141
0.5517 Remote Similarity NPC6434
0.5385 Remote Similarity NPC470923
0.5254 Remote Similarity NPC234707
0.5224 Remote Similarity NPC164835
0.5224 Remote Similarity NPC228669
0.5147 Remote Similarity NPC128488
0.5147 Remote Similarity NPC304968
0.5075 Remote Similarity NPC310981

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC176107 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
0.5789 Remote Similarity NPD4195 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