Natural Product: NPC188222

Natural Product IDNPC188222
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Gemmacolide G
IUPAC Name n.a.
Synonyms Gemmacolide G
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1812327
PubChem CID 53468495
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001283] Terpene lactones
          • [CHEMONTID:0001538] Diterpene lactones

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 CMKNGEIJCJJGAQ-DFOHHMFPSA-N
Standard InCHI InChI=1S/C30H37ClO14/c1-12-9-10-19(40-14(3)32)28(8)22(26(44-18(7)36)30(38)13(2)27(37)45-23(30)20(12)31)29(11-39-29)25(43-17(6)35)21(41-15(4)33)24(28)42-16(5)34/h9-10,13,19-26,38H,1,11H2,2-8H3/b10-9+/t13-,19-,20-,21+,22+,23-,24-,25+,26-,28+,29-,30-/m0/s1
SMILES C=C1/C=C/[C@@H]([C@]2(C)[C@@H]([C@@H]([C@@]3([C@@H](C)C(=O)O[C@H]3[C@H]1Cl)O)OC(=O)C)[C@@]1(CO1)[C@@H]([C@@H]([C@@H]2OC(=O)C)OC(=O)C)OC(=O)C)OC(=O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   656.19 Volume:   610.393
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Van der Waals volume.
Dense:   1.075 LogP:   1.352
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.852
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.428
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The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   29.0
TPSA:   190.56
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Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   1.0 Rings:   4.0
Heavy Atoms:   15.0

MedChem Properties

QED Drug-Likeness Score:   0.191 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.472 Fsp3:   0.667
MCE-18:   130.24
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.474 Fluc inhibitor:   0.003
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.007
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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:   0.44 Promiscuous compounds:   0.568

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.197 MDCK Permeability:   -4.769
Pgp-inhibitor:   0.444 Pgp-substrate:   0.509
PAMPA:   0.976
?
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%):   0.017 30% Bioavailability (F30%):   0.802
50% Bioavailability (F50%):   0.913

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.999
Plasma Protein Binding (PPB):   54.284% Volume Distribution (VD):   -0.398
Fu: 40.219%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.998 BCRP inhibitor:   0.004
BSEP inhibitor:   0.99

ADMET: Metabolism

CYP1A2-inhibitor:   0.016 CYP1A2-substrate:   0.003
CYP2C19-inhibitor:   0.014 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.053
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.002 CYP3A4-substrate:   0.021
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.994
?
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):  3.183 Half-life (T1/2):  1.22

ADMET: Toxicity

hERG Blockers:  0.001 hERG Blockers (10um):  0.005
Human Hepatotoxicity (H-HT):  0.879 Drug-induced Liver Injury (DILI):  0.995
AMES Toxicity:  0.992 Rat Oral Acute Toxicity:  0.337
Maximum Recommended Daily Dose:  0.509 Skin Sensitization:  1.0
Carcinogencity:  0.679 Eye Corrosion:  0.02
Eye Irritation:  0.379 Respiratory Toxicity:  0.666
Drug-induced Neurotoxicity:  0.342 Ototoxicity:  0.314
Hematotoxicity:  0.829 Drug-induced Nephrotoxicity:  0.994
Genotoxicity:  0.998 RPMI-8226 Immunitoxicity:  0.573
A549 Cytotoxicity:  0.941 Hek293 Cytotoxicity:  0.341
BCF:   0.574
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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:   3.493
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.151
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.81
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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
NPO15994 Dichotella gemmacea Species Ellisellidae Eukaryota n.a. South China Sea n.a. PMID[21721519]
NPO15994 Dichotella gemmacea Species Ellisellidae Eukaryota n.a. n.a. n.a. PMID[21721519]
NPO15994 Dichotella gemmacea Species Ellisellidae Eukaryota n.a. South China Sea n.a. PMID[22647719]
NPO15994 Dichotella gemmacea Species Ellisellidae Eukaryota n.a. n.a. n.a. PMID[23477504]
NPO15994 Dichotella gemmacea Species Ellisellidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15994 Dichotella gemmacea Species Ellisellidae 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
NPT81 Cell line A549 Homo sapiens IC50 = 8400.0 nM PMID[21721519]
NPT2351 Cell line MG-63 Homo sapiens IC50 = 38400.0 nM PMID[21721519]

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 NPC188222 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
0.8955 High Similarity NPC303006
0.7286 Intermediate Similarity NPC483349
0.6944 Remote Similarity NPC310035
0.6944 Remote Similarity NPC600649
0.6944 Remote Similarity NPC601003
0.6712 Remote Similarity NPC140409
0.6667 Remote Similarity NPC282003
0.6575 Remote Similarity NPC602049
0.6267 Remote Similarity NPC606141
0.6216 Remote Similarity NPC608960
0.6164 Remote Similarity NPC483348
0.6154 Remote Similarity NPC470466
0.6154 Remote Similarity NPC170294
0.6026 Remote Similarity NPC601379
0.5949 Remote Similarity NPC600027
0.5833 Remote Similarity NPC470185
0.5811 Remote Similarity NPC609324
0.5732 Remote Similarity NPC483347
0.5309 Remote Similarity NPC606973
0.5128 Remote Similarity NPC89018
0.5125 Remote Similarity NPC605719
0.5119 Remote Similarity NPC483351

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC188222 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