Natural Product: NPC183422

Natural Product IDNPC183422
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Lactarane
IUPAC Name (3aR,8R,8aR)-2,2,8-trimethyl-3,3a,8,8a-tetrahydro-1H-azulene-5,6-dicarbaldehyde
Synonyms Lactarane
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL479316
PubChem CID 14412869
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0003940] Organic oxides

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 GUAUUIHVMRMGCT-MISXGVKJSA-N
Standard InCHI InChI=1S/C15H20O2/c1-10-4-12(8-16)13(9-17)5-11-6-15(2,3)7-14(10)11/h4-5,8-11,14H,6-7H2,1-3H3/t10-,11+,14+/m0/s1
SMILES O=CC1=C[C@H](C)[C@@H]2[C@H](C=C1C=O)CC(C2)(C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   232.15 Volume:   257.918
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Van der Waals volume.
Dense:   0.9 LogP:   3.458
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.284
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.51
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The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   13.0
TPSA:   34.14
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Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   0.0 Rings:   2.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.686 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.573 Fsp3:   0.6
MCE-18:   35.0
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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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.872 Fluc inhibitor:   0.335
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.357
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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:   0.841 Promiscuous compounds:   0.22

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.811 MDCK Permeability:   -4.594
Pgp-inhibitor:   0.796 Pgp-substrate:   0.006
PAMPA:   0.593
?
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):   0.272
20% Bioavailability (F20%):   0.408 30% Bioavailability (F30%):   0.795
50% Bioavailability (F50%):   0.826

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.412 MRP1:   0.189
Plasma Protein Binding (PPB):   92.125% Volume Distribution (VD):   0.034
Fu: 8.339%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.983
OATP1B3 inhibitor:   0.975 BCRP inhibitor:   0.027
BSEP inhibitor:   0.98

ADMET: Metabolism

CYP1A2-inhibitor:   0.006 CYP1A2-substrate:   0.627
CYP2C19-inhibitor:   0.218 CYP2C19-substrate:   0.315
CYP2C9-inhibitor:   0.406 CYP2C9-substrate:   0.002
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.007
CYP3A4-inhibitor:   0.382 CYP3A4-substrate:   0.007
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.617
HLM stability:   0.943
?
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):  10.299 Half-life (T1/2):  1.159

ADMET: Toxicity

hERG Blockers:  0.052 hERG Blockers (10um):  0.357
Human Hepatotoxicity (H-HT):  0.42 Drug-induced Liver Injury (DILI):  0.395
AMES Toxicity:  0.8 Rat Oral Acute Toxicity:  0.628
Maximum Recommended Daily Dose:  0.644 Skin Sensitization:  0.751
Carcinogencity:  0.762 Eye Corrosion:  0.474
Eye Irritation:  0.931 Respiratory Toxicity:  0.784
Drug-induced Neurotoxicity:  0.505 Ototoxicity:  0.268
Hematotoxicity:  0.455 Drug-induced Nephrotoxicity:  0.475
Genotoxicity:  0.947 RPMI-8226 Immunitoxicity:  0.174
A549 Cytotoxicity:  0.176 Hek293 Cytotoxicity:  0.307
BCF:   1.758
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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:   4.455
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.929
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.561
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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
NPO1394 Penicillium sclerotigenum Species Aspergillaceae Eukaryota sclerotia n.a. n.a. PMID[10217735]
NPO20902 Atractylodes macrocephala Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[17432574]
NPO16087 Atractylodes lancea Species Asteraceae Eukaryota n.a. rhizome n.a. PMID[18787781]
NPO16087 Atractylodes lancea Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[21302967]
NPO16087 Atractylodes lancea Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[27228227]
NPO16087 Atractylodes lancea Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[9544564]
NPO11327 Lactarius necator Species Russulaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10516 Lactarius piperatus Species Russulaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16087 Atractylodes lancea Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20902 Atractylodes macrocephala Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7611 Sclerotium poriae cocos Species Typhulaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7991 Lactarius vellereus Species Russulaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7611 Sclerotium poriae cocos Species Typhulaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO20902 Atractylodes macrocephala Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9266 Stephania delavayi Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO10516 Lactarius piperatus Species Russulaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO16087 Atractylodes lancea Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO7991 Lactarius vellereus Species Russulaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO29399 Microdochium nivale Species Microdochiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9266 Stephania delavayi Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7991 Lactarius vellereus Species Russulaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO11327 Lactarius necator Species Russulaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO10516 Lactarius piperatus Species Russulaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO16087 Atractylodes lancea Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO20902 Atractylodes macrocephala Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7611 Sclerotium poriae cocos Species Typhulaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO16087 Atractylodes lancea Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO9266 Stephania delavayi Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO20902 Atractylodes macrocephala Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO16087 Atractylodes lancea Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO20902 Atractylodes macrocephala Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO16087 Atractylodes lancea Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10516 Lactarius piperatus Species Russulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7167 Hosta undulata Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8243 Euphorbia supina Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1394 Penicillium sclerotigenum Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20902 Atractylodes macrocephala Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29399 Microdochium nivale Species Microdochiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7991 Lactarius vellereus Species Russulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11327 Lactarius necator Species Russulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3471 Suillellus luridus Species Boletaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9266 Stephania delavayi Species Menispermaceae 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
NPT729 Organism Micrococcus luteus Micrococcus luteus Activity = 15.0 ug DOI[10.1021/np50038a013]
NPT20 Organism Candida albicans Candida albicans Activity = 2.0 ug DOI[10.1021/np50038a013]
NPT19 Organism Escherichia coli Escherichia coli Activity = 50.0 ug DOI[10.1021/np50038a013]

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 NPC183422 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
0.7143 Intermediate Similarity NPC263698
0.5429 Remote Similarity NPC187619

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC183422 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