Natural Product: NPC79579

Natural Product IDNPC79579
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Coagulanolide
IUPAC Name (2R)-2-[(1S)-1-hydroxy-1-[(8R,9S,10R,13S,14R,15S,17S)-14,15,17-trihydroxy-10,13-dimethyl-1-oxo-4,7,8,9,11,12,15,16-octahydrocyclopenta[a]phenanthren-17-yl]ethyl]-4,5-dimethyl-2,3-dihydropyran-6-one
Synonyms coagulanolide
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL520391
PubChem CID 44562997
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001125] Steroid lactones
          • [CHEMONTID:0001560] Withanolides 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 XAEUKOBJPRGERY-VLXOZLMASA-N
Standard InCHI InChI=1S/C28H38O7/c1-15-13-22(35-23(31)16(15)2)26(5,32)27(33)14-21(30)28(34)19-10-9-17-7-6-8-20(29)25(17,4)18(19)11-12-24(27,28)3/h6,8-9,18-19,21-22,30,32-34H,7,10-14H2,1-5H3/t18-,19+,21-,22+,24+,25-,26-,27-,28-/m0/s1
SMILES CC1=C(C)C(=O)O[C@H](C1)[C@@](C)([C@@]1(C[C@@H]([C@]2([C@@H]3CC=C4CC=CC(=O)[C@]4(C)[C@H]3CC[C@]12C)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   486.26 Volume:   498.411
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Van der Waals volume.
Dense:   0.976 LogP:   1.311
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.783
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.661
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The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   28.0
TPSA:   124.29
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Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   4.0 Rings:   5.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.349 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.527 Fsp3:   0.714
MCE-18:   100.75
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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:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.405 Fluc inhibitor:   0.118
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.011
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.013
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.326 Promiscuous compounds:   0.33

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.604 MDCK Permeability:   -5.043
Pgp-inhibitor:   0.0 Pgp-substrate:   0.711
PAMPA:   0.996
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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):   0.013
20% Bioavailability (F20%):   0.583 30% Bioavailability (F30%):   0.666
50% Bioavailability (F50%):   0.99

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.486 MRP1:   0.987
Plasma Protein Binding (PPB):   89.903% Volume Distribution (VD):   -0.015
Fu: 9.852%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.072
BSEP inhibitor:   0.829

ADMET: Metabolism

CYP1A2-inhibitor:   0.986 CYP1A2-substrate:   0.223
CYP2C19-inhibitor:   0.461 CYP2C19-substrate:   0.05
CYP2C9-inhibitor:   0.219 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.083 CYP2D6-substrate:   0.013
CYP3A4-inhibitor:   0.092 CYP3A4-substrate:   0.933
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.639
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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):  3.234 Half-life (T1/2):  2.56

ADMET: Toxicity

hERG Blockers:  0.017 hERG Blockers (10um):  0.096
Human Hepatotoxicity (H-HT):  0.651 Drug-induced Liver Injury (DILI):  0.341
AMES Toxicity:  0.585 Rat Oral Acute Toxicity:  0.404
Maximum Recommended Daily Dose:  0.735 Skin Sensitization:  0.994
Carcinogencity:  0.848 Eye Corrosion:  0.004
Eye Irritation:  0.473 Respiratory Toxicity:  0.718
Drug-induced Neurotoxicity:  0.152 Ototoxicity:  0.53
Hematotoxicity:  0.486 Drug-induced Nephrotoxicity:  0.728
Genotoxicity:  0.966 RPMI-8226 Immunitoxicity:  0.132
A549 Cytotoxicity:  0.409 Hek293 Cytotoxicity:  0.421
BCF:   0.56
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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:   3.203
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.687
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.043
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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
NPO13927 Withania coagulans Species Solanaceae Eukaryota fruits n.a. n.a. PMID[18952419]
NPO13927 Withania coagulans Species Solanaceae Eukaryota n.a. n.a. n.a. PMID[23316950]
NPO13927 Withania coagulans Species Solanaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13927 Withania coagulans Species Solanaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO13927 Withania coagulans Species Solanaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13927 Withania coagulans Species Solanaceae 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
NPT29 Organism Rattus norvegicus Rattus norvegicus Activity = 28.1 % PMID[23398362]
NPT29 Organism Rattus norvegicus Rattus norvegicus Activity = 14.7 % PMID[23398362]





 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 NPC79579 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
0.8028 Intermediate Similarity NPC484717
0.7647 Intermediate Similarity NPC153440
0.6712 Remote Similarity NPC107493
0.6711 Remote Similarity NPC5292
0.6622 Remote Similarity NPC103045
0.6447 Remote Similarity NPC329671
0.6351 Remote Similarity NPC176840
0.6351 Remote Similarity NPC190286
0.6351 Remote Similarity NPC484742
0.5926 Remote Similarity NPC484718
0.5921 Remote Similarity NPC225826
0.5897 Remote Similarity NPC470961
0.5854 Remote Similarity NPC484725
0.5844 Remote Similarity NPC191620
0.557 Remote Similarity NPC46570
0.557 Remote Similarity NPC44428
0.557 Remote Similarity NPC78691
0.5316 Remote Similarity NPC270850
0.5316 Remote Similarity NPC305260
0.5309 Remote Similarity NPC285729
0.525 Remote Similarity NPC158285
0.5208 Remote Similarity NPC484726
0.5125 Remote Similarity NPC486565

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC79579 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