Natural Product: NPC511962

Natural Product IDNPC511962
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
4-[2-[(1~{S},3~{S},4~{a}~{R},8~{a}~{R})-3-hydroxy-5,5,8~{a}-trimethyl-2-methylene-decalin-1-yl]ethyl]-2~{H}-furan-5-one
IUPAC Name 4-[2-[(1~{S},3~{S},4~{a}~{R},8~{a}~{R})-3-hydroxy-5,5,8~{a}-trimethyl-2-methylene-decalin-1-yl]ethyl]-2~{H}-furan-5-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 FTEOKKHVMZMVFW-YZLZLFLDSA-N
Standard InCHI InChI=1S/C20H30O3/c1-13-15(7-6-14-8-11-23-18(14)22)20(4)10-5-9-19(2,3)17(20)12-16(13)21/h8,15-17,21H,1,5-7,9-12H2,2-4H3/t15-,16+,17-,20+/m1/s1
SMILES C=C1[C@@H](CCC2=CCOC2=O)[C@]2(C)CCCC(C)(C)[C@H]2C[C@@H]1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   318.22 Volume:   347.268
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Van der Waals volume.
Dense:   0.916 LogP:   3.619
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.581
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.303
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The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   18.0
TPSA:   46.53
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Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   1.0 Rings:   3.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.631 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.478 Fsp3:   0.75
MCE-18:   54.0
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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:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.531 Fluc inhibitor:   0.3
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.004
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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:   0.684 Promiscuous compounds:   0.111

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.69 MDCK Permeability:   -4.696
Pgp-inhibitor:   0.241 Pgp-substrate:   0.078
PAMPA:   0.339
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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):   0.0
20% Bioavailability (F20%):   0.025 30% Bioavailability (F30%):   0.017
50% Bioavailability (F50%):   0.65

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.545 MRP1:   0.45
Plasma Protein Binding (PPB):   98.858% Volume Distribution (VD):   0.106
Fu: 2.035%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   0.988
OATP1B3 inhibitor:   0.966 BCRP inhibitor:   0.049
BSEP inhibitor:   0.691

ADMET: Metabolism

CYP1A2-inhibitor:   0.059 CYP1A2-substrate:   0.002
CYP2C19-inhibitor:   0.462 CYP2C19-substrate:   0.048
CYP2C9-inhibitor:   0.044 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.019 CYP2D6-substrate:   0.073
CYP3A4-inhibitor:   0.447 CYP3A4-substrate:   0.146
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.328
HLM stability:   0.549
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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):  10.866 Half-life (T1/2):  0.984

ADMET: Toxicity

hERG Blockers:  0.094 hERG Blockers (10um):  0.594
Human Hepatotoxicity (H-HT):  0.562 Drug-induced Liver Injury (DILI):  0.285
AMES Toxicity:  0.69 Rat Oral Acute Toxicity:  0.863
Maximum Recommended Daily Dose:  0.9 Skin Sensitization:  0.999
Carcinogencity:  0.935 Eye Corrosion:  0.056
Eye Irritation:  0.47 Respiratory Toxicity:  0.826
Drug-induced Neurotoxicity:  0.581 Ototoxicity:  0.339
Hematotoxicity:  0.536 Drug-induced Nephrotoxicity:  0.897
Genotoxicity:  0.728 RPMI-8226 Immunitoxicity:  0.184
A549 Cytotoxicity:  0.623 Hek293 Cytotoxicity:  0.578
BCF:   2.125
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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:   4.901
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.456
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.045
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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
NPO3569 Acritopappus morii Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3569 Acritopappus morii Species Asteraceae 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 NPC511962 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
0.7018 Intermediate Similarity NPC234993
0.7018 Intermediate Similarity NPC134072
0.6607 Remote Similarity NPC50488
0.6607 Remote Similarity NPC474396
0.6545 Remote Similarity NPC106416
0.6545 Remote Similarity NPC86316
0.6545 Remote Similarity NPC609165
0.6491 Remote Similarity NPC177037
0.6491 Remote Similarity NPC472814
0.6429 Remote Similarity NPC182136
0.6034 Remote Similarity NPC329692
0.569 Remote Similarity NPC608380
0.5593 Remote Similarity NPC200513
0.5424 Remote Similarity NPC251528
0.541 Remote Similarity NPC311070
0.541 Remote Similarity NPC139692
0.5352 Remote Similarity NPC392
0.5352 Remote Similarity NPC177524
0.5352 Remote Similarity NPC219900
0.5246 Remote Similarity NPC79027
0.5246 Remote Similarity NPC51486
0.5179 Remote Similarity NPC306727
0.5167 Remote Similarity NPC12170
0.5161 Remote Similarity NPC472809
0.5161 Remote Similarity NPC472810
0.5161 Remote Similarity NPC475709
0.5085 Remote Similarity NPC4509
0.5082 Remote Similarity NPC29952
0.507 Remote Similarity NPC479457
0.5068 Remote Similarity NPC479461

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC511962 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
0.5593 Remote Similarity NPD4752 Clinical (unspecified phase)
0.5352 Remote Similarity NPD6686 Approved

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