Natural Product: NPC312273

Natural Product IDNPC312273
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
OEYSIPNWFNKKRF-ALKXEMMNSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3600406
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0003405] 2-arylbenzofuran flavonoids

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 OEYSIPNWFNKKRF-ALKXEMMNSA-N
Standard InCHI InChI=1S/C34H30O8/c1-17(2)3-12-25-33-29(26(39)16-27(41-33)18-4-8-21(35)9-5-18)31(40)30-28(20-13-23(37)15-24(38)14-20)32(42-34(25)30)19-6-10-22(36)11-7-19/h3-11,13-15,27-28,32,35-38,40H,12,16H2,1-2H3/t27-,28-,32+/m0/s1
SMILES CC(=CCc1c2c(C(=O)C[C@@H](c3ccc(cc3)O)O2)c(c2[C@H](c3cc(cc(c3)O)O)[C@@H](c3ccc(cc3)O)Oc12)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   566.19 Volume:   578.693
?
Van der Waals volume.
Dense:   0.978 LogP:   4.876
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.813
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.491
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The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   35.0
TPSA:   136.68
?
Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   5.0 Rings:   6.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.168 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.191 Fsp3:   0.206
MCE-18:   115.024
?
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:   1.0 Fluc inhibitor:   0.818
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.401
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.954
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.263 Promiscuous compounds:   0.091

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.442 MDCK Permeability:   -4.833
Pgp-inhibitor:   0.935 Pgp-substrate:   0.056
PAMPA:   0.301
?
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%):   0.053 30% Bioavailability (F30%):   0.996
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.976
Plasma Protein Binding (PPB):   95.263% Volume Distribution (VD):   0.243
Fu: 5.312%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.999
BSEP inhibitor:   0.946

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.995
CYP2C19-inhibitor:   0.846 CYP2C19-substrate:   1.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.002 CYP2D6-substrate:   0.997
CYP3A4-inhibitor:   0.461 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   1.0
?
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):  5.099 Half-life (T1/2):  1.984

ADMET: Toxicity

hERG Blockers:  0.326 hERG Blockers (10um):  0.696
Human Hepatotoxicity (H-HT):  0.979 Drug-induced Liver Injury (DILI):  0.131
AMES Toxicity:  0.701 Rat Oral Acute Toxicity:  0.835
Maximum Recommended Daily Dose:  0.979 Skin Sensitization:  0.985
Carcinogencity:  0.207 Eye Corrosion:  0.0
Eye Irritation:  0.802 Respiratory Toxicity:  0.21
Drug-induced Neurotoxicity:  0.943 Ototoxicity:  0.83
Hematotoxicity:  0.056 Drug-induced Nephrotoxicity:  0.822
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.097
A549 Cytotoxicity:  0.898 Hek293 Cytotoxicity:  0.996
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:   5.355
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.467
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.223
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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
NPO20471 Sophora alopecuroides Species Fabaceae Eukaryota root bark Mongolian n.a. PMID[26073007]
NPO20471 Sophora alopecuroides Species Fabaceae Eukaryota Aerial Parts n.a. n.a. PMID[31747283]
NPO20471 Sophora alopecuroides Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20471 Sophora alopecuroides Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO20471 Sophora alopecuroides Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO20471 Sophora alopecuroides Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO20471 Sophora alopecuroides Species Fabaceae 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
NPT113 Cell line RAW264.7 Mus musculus IC50 = 19000.0 nM PMID[21868221]

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 NPC312273 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
0.8732 High Similarity NPC301256
0.6867 Remote Similarity NPC473012
0.6395 Remote Similarity NPC473009
0.6207 Remote Similarity NPC473010
0.6053 Remote Similarity NPC142405
0.589 Remote Similarity NPC220998
0.5753 Remote Similarity NPC265040
0.5696 Remote Similarity NPC473011
0.5616 Remote Similarity NPC107572
0.5616 Remote Similarity NPC32739
0.5584 Remote Similarity NPC473078
0.5333 Remote Similarity NPC187282
0.525 Remote Similarity NPC246948
0.5181 Remote Similarity NPC195621
0.5132 Remote Similarity NPC69674
0.5132 Remote Similarity NPC75049
0.5067 Remote Similarity NPC164980
0.5065 Remote Similarity NPC610133

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC312273 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