Natural Product: NPC474842

Natural Product IDNPC474842
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Geoditin B
IUPAC Name [(3Z,3aS,5aR,7S,9aR,9bS)-3a,6,6,9a-tetramethyl-3-[(3E,5E,8E)-6-methyl-7,10-dioxoundeca-3,5,8-trien-2-ylidene]-2-oxo-1,4,5,5a,7,8,9,9b-octahydrocyclopenta[a]naphthalen-7-yl] acetate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL484834
PubChem CID 44575709
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids

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 CDPPOXOHMOXLAH-SQBDJJPTSA-N
Standard InCHI InChI=1S/C31H42O5/c1-19(23(34)13-12-21(3)32)10-9-11-20(2)28-24(35)18-26-30(7)17-15-27(36-22(4)33)29(5,6)25(30)14-16-31(26,28)8/h9-13,25-27H,14-18H2,1-8H3/b11-9+,13-12+,19-10+,28-20+/t25-,26-,27-,30-,31-/m0/s1
SMILES CC(=O)/C=C/C(=O)/C(=C/C=C/C(=C/1C(=O)C[C@@H]2[C@]1(C)CC[C@@H]1[C@]2(C)CC[C@@H](C1(C)C)OC(=O)C)/C)/C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   494.3 Volume:   541.922
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Van der Waals volume.
Dense:   0.912 LogP:   3.84
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.462
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.454
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   23.0
TPSA:   77.51
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Topological Polar Surface Area.
H-Bond Acceptor:   5.0
H-Bond Donor:   0.0 Rings:   3.0
Heavy Atoms:   5.0

MedChem Properties

QED Drug-Likeness Score:   0.247 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.695 Fsp3:   0.613
MCE-18:   68.32
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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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.792 Fluc inhibitor:   0.655
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.311
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.034
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.653 Promiscuous compounds:   0.475

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.958 MDCK Permeability:   -4.737
Pgp-inhibitor:   1.0 Pgp-substrate:   0.056
PAMPA:   0.042
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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):   0.001
20% Bioavailability (F20%):   0.367 30% Bioavailability (F30%):   0.736
50% Bioavailability (F50%):   0.974

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.928
Plasma Protein Binding (PPB):   98.39% Volume Distribution (VD):   -0.328
Fu: 1.469%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.984 BCRP inhibitor:   0.007
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.003 CYP1A2-substrate:   0.989
CYP2C19-inhibitor:   0.195 CYP2C19-substrate:   0.969
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.1
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.083
CYP3A4-inhibitor:   0.907 CYP3A4-substrate:   0.974
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):  7.786 Half-life (T1/2):  0.428

ADMET: Toxicity

hERG Blockers:  0.046 hERG Blockers (10um):  0.206
Human Hepatotoxicity (H-HT):  0.652 Drug-induced Liver Injury (DILI):  0.853
AMES Toxicity:  0.727 Rat Oral Acute Toxicity:  0.278
Maximum Recommended Daily Dose:  0.687 Skin Sensitization:  0.988
Carcinogencity:  0.583 Eye Corrosion:  0.285
Eye Irritation:  0.842 Respiratory Toxicity:  0.592
Drug-induced Neurotoxicity:  0.274 Ototoxicity:  0.268
Hematotoxicity:  0.659 Drug-induced Nephrotoxicity:  0.636
Genotoxicity:  0.886 RPMI-8226 Immunitoxicity:  0.092
A549 Cytotoxicity:  0.249 Hek293 Cytotoxicity:  0.386
BCF:   1.291
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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:   4.386
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.927
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.455
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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
NPO32624 rhabdastrella aff. distincta Species Ancorinidae Eukaryota n.a. n.a. n.a. PMID[15620246]
NPO32624 rhabdastrella aff. distincta Species Ancorinidae Eukaryota n.a. n.a. n.a. PMID[18826276]

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
NPT116 Cell line HL-60 Homo sapiens IC50 > 5.0 ug.mL-1 DrugMatrix in vitro pharmacology data
NPT547 Cell line BGC-823 Homo sapiens IC50 > 5.0 ug.mL-1 PMID[21616566]
NPT181 Cell line Bel-7402 Homo sapiens IC50 > 5.0 ug.mL-1 PMID[19902967]
NPT165 Cell line HeLa Homo sapiens IC50 > 5.0 ug.mL-1 DrugMatrix in vivo data: Biochemistry
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 > 5.0 ug.mL-1 PMID[15620246]

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 NPC474842 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 NPC475965
1.0 High Similarity NPC604299
0.6923 Remote Similarity NPC605871
0.6818 Remote Similarity NPC266955
0.6721 Remote Similarity NPC329866
0.6721 Remote Similarity NPC474796
0.6721 Remote Similarity NPC474797
0.6721 Remote Similarity NPC602550
0.6308 Remote Similarity NPC151725
0.6176 Remote Similarity NPC469874
0.6119 Remote Similarity NPC473435
0.6119 Remote Similarity NPC473280
0.6119 Remote Similarity NPC471078
0.5942 Remote Similarity NPC106425
0.5942 Remote Similarity NPC6206
0.5942 Remote Similarity NPC122324
0.5857 Remote Similarity NPC10064
0.5857 Remote Similarity NPC170221
0.5857 Remote Similarity NPC110937
0.5775 Remote Similarity NPC155332
0.5775 Remote Similarity NPC114540
0.5769 Remote Similarity NPC473617
0.5769 Remote Similarity NPC473828
0.5694 Remote Similarity NPC115899
0.5694 Remote Similarity NPC473482
0.5694 Remote Similarity NPC473284
0.5616 Remote Similarity NPC473283
0.5616 Remote Similarity NPC475526
0.5606 Remote Similarity NPC2049
0.5513 Remote Similarity NPC168319
0.5513 Remote Similarity NPC194028
0.5429 Remote Similarity NPC473879
0.5077 Remote Similarity NPC161638

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC474842 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