Natural Product: NPC141836

Natural Product IDNPC141836
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
SESLBPIXVOYQJJ-UHFFFAOYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 149044
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000476] Cinnamic acids and derivatives
        • [CHEMONTID:0001391] Hydroxycinnamic acids and derivatives
          • [CHEMONTID:0000059] Coumaric acids and derivatives

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 SESLBPIXVOYQJJ-UHFFFAOYSA-N
Standard InCHI InChI=1S/C28H46O4/c1-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-23-32-28(30)22-20-25-19-21-26(29)27(24-25)31-2/h19-22,24,29H,3-18,23H2,1-2H3
SMILES CCCCCCCCCCCCCCCCCCOC(=O)C=Cc1ccc(c(c1)OC)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   446.34 Volume:   506.266
?
Van der Waals volume.
Dense:   0.882 LogP:   8.851
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.404
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.661
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   21.0 Rigid Bonds:   8.0
TPSA:   55.76
?
Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   1.0 Rings:   1.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.124 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.245 Fsp3:   0.679
MCE-18:   7.0
?
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:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   1
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.957 Fluc inhibitor:   0.999
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.196
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.7
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.747 Promiscuous compounds:   0.435

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.051 MDCK Permeability:   -4.803
Pgp-inhibitor:   0.001 Pgp-substrate:   0.008
PAMPA:   0.0
?
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):   0.894
20% Bioavailability (F20%):   0.995 30% Bioavailability (F30%):   0.998
50% Bioavailability (F50%):   0.991

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.982
Plasma Protein Binding (PPB):   100.272% Volume Distribution (VD):   1.23
Fu: 0.277%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.948
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.956
BSEP inhibitor:   0.866

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.998
CYP2C19-inhibitor:   0.354 CYP2C19-substrate:   0.604
CYP2C9-inhibitor:   0.911 CYP2C9-substrate:   0.703
CYP2D6-inhibitor:   0.841 CYP2D6-substrate:   0.965
CYP3A4-inhibitor:   0.015 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.065 CYP2C8-inhibitor:   1.0
HLM stability:   0.23
?
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):  4.72 Half-life (T1/2):  1.457

ADMET: Toxicity

hERG Blockers:  0.748 hERG Blockers (10um):  0.914
Human Hepatotoxicity (H-HT):  0.4 Drug-induced Liver Injury (DILI):  0.098
AMES Toxicity:  0.092 Rat Oral Acute Toxicity:  0.109
Maximum Recommended Daily Dose:  0.297 Skin Sensitization:  0.999
Carcinogencity:  0.206 Eye Corrosion:  0.57
Eye Irritation:  0.982 Respiratory Toxicity:  0.887
Drug-induced Neurotoxicity:  0.047 Ototoxicity:  0.148
Hematotoxicity:  0.031 Drug-induced Nephrotoxicity:  0.218
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.109
A549 Cytotoxicity:  0.913 Hek293 Cytotoxicity:  0.539
BCF:   0.572
?
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:   5.223
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.854
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.916
?
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
NPO3762 Amentotaxus argotaenia Species Taxaceae Eukaryota Leaves; Twigs n.a. n.a. PMID[32633512]
NPO822 Cressa cretica Species Convolvulaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11832 Pinus banksiana Species Pinaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4144 Scutia buxifolia Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1191 Castanea mollissima Species Fagaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3102 Arachniodes exilis Species Dryopteridaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9522 Pericopsis angolensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9311 Parkia clappertoniana Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9785 Dictyota binghamiae Species Dictyotaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9051 Delesseria sanguinea Species Delesseriaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1191 Castanea mollissima Species Fagaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO4144 Scutia buxifolia Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO7334 Embelia barbeyana Species Primulaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO1191 Castanea mollissima Species Fagaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3102 Arachniodes exilis Species Dryopteridaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7334 Embelia barbeyana Species Primulaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9522 Pericopsis angolensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12322 Amomum krervanh Species Zingiberaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO4144 Scutia buxifolia Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO1191 Castanea mollissima Species Fagaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO12322 Amomum krervanh Species Zingiberaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO1191 Castanea mollissima Species Fagaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7867 Cytisus caramanicus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9785 Dictyota binghamiae Species Dictyotaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10588 Diploschistes violarius Species Graphidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3102 Arachniodes exilis Species Dryopteridaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO822 Cressa cretica Species Convolvulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3762 Amentotaxus argotaenia Species Taxaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12322 Amomum krervanh Species Zingiberaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10775 Verbascum fruticulosum Species Scrophulariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5205 Gymnoascus reesii Species Gymnoascaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9311 Parkia clappertoniana Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4144 Scutia buxifolia Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7334 Embelia barbeyana Species Primulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9051 Delesseria sanguinea Species Delesseriaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9522 Pericopsis angolensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28130 Neonotonia wightii Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3007 Heliotropium bovei Species Heliotropiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11832 Pinus banksiana Species Pinaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10177 Eria linearifolia Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12895 Polypodiodes niponica Species Polypodiaceae 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 NPC141836 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 NPC60517
1.0 High Similarity NPC146886
1.0 High Similarity NPC20443
0.9375 High Similarity NPC83062
0.8491 Intermediate Similarity NPC482462
0.7692 Intermediate Similarity NPC70752
0.74 Intermediate Similarity NPC202474
0.7115 Intermediate Similarity NPC273741
0.7115 Intermediate Similarity NPC608423
0.7115 Intermediate Similarity NPC611337
0.6981 Remote Similarity NPC203124
0.6981 Remote Similarity NPC607366
0.6792 Remote Similarity NPC246704
0.6727 Remote Similarity NPC204466
0.6613 Remote Similarity NPC475468
0.66 Remote Similarity NPC107588
0.66 Remote Similarity NPC137537
0.6538 Remote Similarity NPC82731
0.6429 Remote Similarity NPC110313
0.6393 Remote Similarity NPC482043
0.6296 Remote Similarity NPC328593
0.6102 Remote Similarity NPC213552
0.6102 Remote Similarity NPC120225
0.6 Remote Similarity NPC280767
0.6 Remote Similarity NPC135127
0.5926 Remote Similarity NPC33749
0.5902 Remote Similarity NPC110699
0.5902 Remote Similarity NPC106055
0.5763 Remote Similarity NPC15621
0.569 Remote Similarity NPC289459
0.5667 Remote Similarity NPC158949
0.5606 Remote Similarity NPC481915
0.56 Remote Similarity NPC36108
0.56 Remote Similarity NPC233731
0.56 Remote Similarity NPC610203
0.5556 Remote Similarity NPC109275
0.5479 Remote Similarity NPC484274
0.5373 Remote Similarity NPC120852
0.537 Remote Similarity NPC160900
0.5352 Remote Similarity NPC158900
0.5283 Remote Similarity NPC39793
0.5256 Remote Similarity NPC132723
0.5256 Remote Similarity NPC76032
0.5231 Remote Similarity NPC485282
0.5231 Remote Similarity NPC485283
0.5231 Remote Similarity NPC485281
0.5185 Remote Similarity NPC224814
0.5147 Remote Similarity NPC471110
0.5139 Remote Similarity NPC252402
0.5139 Remote Similarity NPC102934
0.5132 Remote Similarity NPC482415
0.5132 Remote Similarity NPC482416
0.5088 Remote Similarity NPC474967
0.5065 Remote Similarity NPC274960

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC141836 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
0.537 Remote Similarity NPD4379 Clinical (unspecified phase)

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