Natural Product: NPC137066

Natural Product IDNPC137066
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
KGMSWPSAVZAMKR-TWZMTFLISA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 90472509
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 KGMSWPSAVZAMKR-TWZMTFLISA-N
Standard InCHI InChI=1S/C20H30O2/c1-13(2)14-6-8-16-15(12-14)7-9-17-19(16,3)10-5-11-20(17,4)18(21)22/h12,16-17H,5-11H2,1-4H3,(H,21,22)/t16?,17-,19-,20-/m1/s1
SMILES CC(=C1CCC2C(=C1)CC[C@@H]1[C@]2(C)CCC[C@@]1(C)C(=O)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   302.22 Volume:   338.478
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Van der Waals volume.
Dense:   0.893 LogP:   3.916
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.044
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.955
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The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   18.0
TPSA:   37.3
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Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   1.0 Rings:   3.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.709 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.217 Fsp3:   0.75
MCE-18:   55.2
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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:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.18 Fluc inhibitor:   0.008
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.01
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.075
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.814 Promiscuous compounds:   0.061

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.644 MDCK Permeability:   -4.73
Pgp-inhibitor:   0.095 Pgp-substrate:   0.006
PAMPA:   0.453
?
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):   0.003
20% Bioavailability (F20%):   0.046 30% Bioavailability (F30%):   0.014
50% Bioavailability (F50%):   0.366

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.175 MRP1:   0.976
Plasma Protein Binding (PPB):   97.37% Volume Distribution (VD):   -0.401
Fu: 3.463%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.997
OATP1B3 inhibitor:   0.987 BCRP inhibitor:   0.028
BSEP inhibitor:   0.959

ADMET: Metabolism

CYP1A2-inhibitor:   0.054 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.034 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.996 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.001 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.883 CYP3A4-substrate:   0.007
CYP2B6-substrate:   0.035 CYP2C8-inhibitor:   0.093
HLM stability:   0.002
?
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):  3.863 Half-life (T1/2):  1.124

ADMET: Toxicity

hERG Blockers:  0.066 hERG Blockers (10um):  0.285
Human Hepatotoxicity (H-HT):  0.806 Drug-induced Liver Injury (DILI):  0.507
AMES Toxicity:  0.101 Rat Oral Acute Toxicity:  0.179
Maximum Recommended Daily Dose:  0.597 Skin Sensitization:  0.965
Carcinogencity:  0.92 Eye Corrosion:  0.776
Eye Irritation:  0.98 Respiratory Toxicity:  0.85
Drug-induced Neurotoxicity:  0.391 Ototoxicity:  0.432
Hematotoxicity:  0.304 Drug-induced Nephrotoxicity:  0.555
Genotoxicity:  0.066 RPMI-8226 Immunitoxicity:  0.024
A549 Cytotoxicity:  0.032 Hek293 Cytotoxicity:  0.146
BCF:   1.673
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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:   4.371
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.61
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.155
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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
NPO12422 Pinus massoniana Species Pinaceae Eukaryota n.a. n.a. n.a. PMID[32100544]
NPO12422 Pinus massoniana Species Pinaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12422 Pinus massoniana Species Pinaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO12422 Pinus massoniana Species Pinaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12422 Pinus massoniana Species Pinaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO12422 Pinus massoniana Species Pinaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO12422 Pinus massoniana Species Pinaceae 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 NPC137066 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
0.6863 Remote Similarity NPC109854
0.6667 Remote Similarity NPC161923
0.6667 Remote Similarity NPC183503
0.6667 Remote Similarity NPC283908
0.6667 Remote Similarity NPC103958
0.6667 Remote Similarity NPC610917
0.6538 Remote Similarity NPC165711
0.6296 Remote Similarity NPC610334
0.5849 Remote Similarity NPC488498
0.5849 Remote Similarity NPC61952
0.5849 Remote Similarity NPC481630
0.5849 Remote Similarity NPC603184
0.5741 Remote Similarity NPC198240
0.5741 Remote Similarity NPC237591
0.5741 Remote Similarity NPC3753
0.5714 Remote Similarity NPC239098
0.5636 Remote Similarity NPC59436
0.5536 Remote Similarity NPC471159
0.5536 Remote Similarity NPC123880
0.5536 Remote Similarity NPC18819
0.5536 Remote Similarity NPC46610
0.5517 Remote Similarity NPC40228
0.55 Remote Similarity NPC479671
0.5455 Remote Similarity NPC72343
0.5455 Remote Similarity NPC36616
0.5439 Remote Similarity NPC269543
0.5439 Remote Similarity NPC247783
0.5424 Remote Similarity NPC600691
0.5397 Remote Similarity NPC606907
0.5357 Remote Similarity NPC192540
0.5273 Remote Similarity NPC99154
0.5263 Remote Similarity NPC91369
0.5246 Remote Similarity NPC14203
0.5246 Remote Similarity NPC229584
0.5246 Remote Similarity NPC477782
0.5231 Remote Similarity NPC610335
0.5167 Remote Similarity NPC232344
0.5161 Remote Similarity NPC477783
0.5085 Remote Similarity NPC483605

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC137066 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