Natural Product: NPC321896

Natural Product IDNPC321896
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Nigrasin H
IUPAC Name (8R)-2-(2,4-dihydroxyphenyl)-5-hydroxy-8,9,9-trimethyl-3-(3-methylbut-2-enyl)-8H-furo[2,3-h]chromen-4-one
Synonyms nigrasin H
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1773618
PubChem CID 54583211
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001615] Flavones
          • [CHEMONTID:0003501] 3-prenylated flavones

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 FJZJTEHPYMIMST-CYBMUJFWSA-N
Standard InCHI InChI=1S/C25H26O6/c1-12(2)6-8-16-22(29)20-18(28)11-19-21(25(4,5)13(3)30-19)24(20)31-23(16)15-9-7-14(26)10-17(15)27/h6-7,9-11,13,26-28H,8H2,1-5H3/t13-/m1/s1
SMILES CC(=CCc1c(oc2c(c1=O)c(O)cc1c2C(C)(C)[C@H](O1)C)c1ccc(cc1O)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   422.17 Volume:   435.743
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Van der Waals volume.
Dense:   0.969 LogP:   4.598
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.536
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.116
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The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   23.0
TPSA:   100.13
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Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   3.0 Rings:   4.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.505 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.772 Fsp3:   0.32
MCE-18:   87.394
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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:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.871 Fluc inhibitor:   0.371
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.927
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.813
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.201 Promiscuous compounds:   0.127

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.026 MDCK Permeability:   -4.826
Pgp-inhibitor:   0.818 Pgp-substrate:   0.532
PAMPA:   0.401
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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):   0.031
20% Bioavailability (F20%):   0.944 30% Bioavailability (F30%):   0.994
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.005 MRP1:   0.969
Plasma Protein Binding (PPB):   95.926% Volume Distribution (VD):   0.332
Fu: 4.204%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.997
OATP1B3 inhibitor:   0.868 BCRP inhibitor:   0.92
BSEP inhibitor:   0.938

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.996 CYP2C19-substrate:   0.999
CYP2C9-inhibitor:   0.004 CYP2C9-substrate:   0.429
CYP2D6-inhibitor:   0.081 CYP2D6-substrate:   0.709
CYP3A4-inhibitor:   0.476 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):  2.015 Half-life (T1/2):  1.768

ADMET: Toxicity

hERG Blockers:  0.043 hERG Blockers (10um):  0.48
Human Hepatotoxicity (H-HT):  0.538 Drug-induced Liver Injury (DILI):  0.78
AMES Toxicity:  0.659 Rat Oral Acute Toxicity:  0.823
Maximum Recommended Daily Dose:  0.87 Skin Sensitization:  0.921
Carcinogencity:  0.529 Eye Corrosion:  0.0
Eye Irritation:  0.778 Respiratory Toxicity:  0.942
Drug-induced Neurotoxicity:  0.212 Ototoxicity:  0.274
Hematotoxicity:  0.122 Drug-induced Nephrotoxicity:  0.391
Genotoxicity:  0.997 RPMI-8226 Immunitoxicity:  0.063
A549 Cytotoxicity:  0.514 Hek293 Cytotoxicity:  0.782
BCF:   1.775
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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:   4.841
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.354
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.84
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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
NPO19738 Morus nigra Species Moraceae Eukaryota n.a. bark n.a. PMID[18330242]
NPO19738 Morus nigra Species Moraceae Eukaryota n.a. twig n.a. PMID[21401118]
NPO19738 Morus nigra Species Moraceae Eukaryota twigs Xinjiang Uygur Autonomous Region, China 2006-MAY PMID[21401118]
NPO19738 Morus nigra Species Moraceae Eukaryota root bark Konya, Turkey 2007-APR PMID[24901948]
NPO19738 Morus nigra Species Moraceae Eukaryota n.a. n.a. n.a. PMID[34663156]
NPO19738 Morus nigra Species Moraceae Eukaryota n.a. n.a. n.a. PMID[35848720]
NPO19738 Morus nigra Species Moraceae Eukaryota n.a. n.a. n.a. PMID[36829941]
NPO19738 Morus nigra Species Moraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO19738 Morus nigra Species Moraceae Eukaryota n.a. n.a. Database[FooDB]
NPO19738 Morus nigra Species Moraceae 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
NPT520 Cell line 3T3-L1 Mus musculus Activity = 203.39 % PMID[21401118]
NPT520 Cell line 3T3-L1 Mus musculus Activity = 143.94 % PMID[21401118]
NPT520 Cell line 3T3-L1 Mus musculus Activity = 102.16 % PMID[21401118]

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 NPC321896 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
0.6709 Remote Similarity NPC62840
0.6528 Remote Similarity NPC96565
0.6486 Remote Similarity NPC11700
0.5946 Remote Similarity NPC190046
0.5844 Remote Similarity NPC607385
0.5806 Remote Similarity NPC195846
0.5732 Remote Similarity NPC77856
0.5513 Remote Similarity NPC303633
0.5476 Remote Similarity NPC282300
0.5412 Remote Similarity NPC219915
0.5412 Remote Similarity NPC78803
0.5375 Remote Similarity NPC241100
0.5294 Remote Similarity NPC187354
0.5227 Remote Similarity NPC217083
0.5181 Remote Similarity NPC473286
0.5172 Remote Similarity NPC276444
0.5119 Remote Similarity NPC13408

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC321896 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