Natural Product: NPC274282

Natural Product IDNPC274282
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
BTCICADMSGBCKA-WVKQWSHJSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 11753405
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001586] Biflavonoids and polyflavonoids

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 BTCICADMSGBCKA-WVKQWSHJSA-N
Standard InCHI InChI=1S/C32H26O10/c1-39-19-7-3-15(4-8-19)31-27(29(37)25-21(35)11-17(33)13-23(25)41-31)28-30(38)26-22(36)12-18(34)14-24(26)42-32(28)16-5-9-20(40-2)10-6-16/h3-14,27-28,31-36H,1-2H3/t27-,28+,31-,32+
SMILES COc1ccc(cc1)[C@H]1[C@@H]([C@@H]2C(=O)c3c(cc(cc3O[C@@H]2c2ccc(cc2)OC)O)O)C(=O)c2c(cc(cc2O1)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   570.15 Volume:   561.681
?
Van der Waals volume.
Dense:   1.015 LogP:   3.714
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.425
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.024
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   36.0
TPSA:   151.98
?
Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   4.0 Rings:   6.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.255 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.004 Fsp3:   0.188
MCE-18:   115.579
?
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:   Accepted BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.985 Fluc inhibitor:   0.963
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.082
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.957
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.436 Promiscuous compounds:   0.233

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.346 MDCK Permeability:   -4.845
Pgp-inhibitor:   0.995 Pgp-substrate:   0.15
PAMPA:   0.034
?
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):   0.016
20% Bioavailability (F20%):   0.005 30% Bioavailability (F30%):   0.99
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.729
Plasma Protein Binding (PPB):   97.498% Volume Distribution (VD):   0.507
Fu: 2.167%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   1.0
BSEP inhibitor:   0.936

ADMET: Metabolism

CYP1A2-inhibitor:   1.0 CYP1A2-substrate:   0.095
CYP2C19-inhibitor:   0.063 CYP2C19-substrate:   0.561
CYP2C9-inhibitor:   1.0 CYP2C9-substrate:   0.946
CYP2D6-inhibitor:   1.0 CYP2D6-substrate:   1.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.016
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.998
?
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):  4.838 Half-life (T1/2):  1.673

ADMET: Toxicity

hERG Blockers:  0.21 hERG Blockers (10um):  0.609
Human Hepatotoxicity (H-HT):  0.623 Drug-induced Liver Injury (DILI):  0.904
AMES Toxicity:  0.789 Rat Oral Acute Toxicity:  0.416
Maximum Recommended Daily Dose:  0.759 Skin Sensitization:  0.483
Carcinogencity:  0.65 Eye Corrosion:  0.0
Eye Irritation:  0.939 Respiratory Toxicity:  0.893
Drug-induced Neurotoxicity:  0.132 Ototoxicity:  0.431
Hematotoxicity:  0.171 Drug-induced Nephrotoxicity:  0.579
Genotoxicity:  0.986 RPMI-8226 Immunitoxicity:  0.274
A549 Cytotoxicity:  0.718 Hek293 Cytotoxicity:  0.961
BCF:   1.553
?
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:   4.699
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.6
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.813
?
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
NPO7067 Stellera chamaejasme Species Thymelaeaceae Eukaryota n.a. root n.a. PMID[15997133]
NPO7067 Stellera chamaejasme Species Thymelaeaceae Eukaryota n.a. root n.a. PMID[16141313]
NPO7067 Stellera chamaejasme Species Thymelaeaceae Eukaryota n.a. callus n.a. PMID[22368856]
NPO7067 Stellera chamaejasme Species Thymelaeaceae Eukaryota n.a. n.a. n.a. PMID[23611151]
NPO7067 Stellera chamaejasme Species Thymelaeaceae Eukaryota roots n.a. n.a. PMID[24931277]
NPO7067 Stellera chamaejasme Species Thymelaeaceae Eukaryota n.a. n.a. n.a. PMID[26562066]
NPO7067 Stellera chamaejasme Species Thymelaeaceae Eukaryota n.a. n.a. n.a. PMID[34770847]
NPO7067 Stellera chamaejasme Species Thymelaeaceae Eukaryota n.a. root n.a. Database[Article]
NPO7067 Stellera chamaejasme Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7067 Stellera chamaejasme Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO7067 Stellera chamaejasme Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7067 Stellera chamaejasme Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO7067 Stellera chamaejasme Species Thymelaeaceae 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 NPC274282 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 NPC287789
0.8431 Intermediate Similarity NPC271741
0.7872 Intermediate Similarity NPC201227
0.7872 Intermediate Similarity NPC258474
0.7843 Intermediate Similarity NPC484335
0.7255 Intermediate Similarity NPC602118
0.6667 Remote Similarity NPC484336
0.6667 Remote Similarity NPC484337
0.6538 Remote Similarity NPC274784
0.6538 Remote Similarity NPC20709
0.6111 Remote Similarity NPC44721
0.6111 Remote Similarity NPC211466
0.6111 Remote Similarity NPC605332
0.5965 Remote Similarity NPC600886
0.5745 Remote Similarity NPC212379
0.5345 Remote Similarity NPC129853
0.5345 Remote Similarity NPC76445
0.5345 Remote Similarity NPC302950
0.5283 Remote Similarity NPC603336
0.5273 Remote Similarity NPC56031
0.5156 Remote Similarity NPC108456
0.5088 Remote Similarity NPC338131

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC274282 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
0.5345 Remote Similarity NPD1934 Phase 0

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