Natural Product: NPC85624

Natural Product IDNPC85624
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Sid85149094
IUPAC Name 6-[(2R)-2,3-dihydroxy-3-methylbutyl]-7-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxychromen-2-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1159420
PubChem CID 44144279
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000145] Coumarins and derivatives
        • [CHEMONTID:0001743] Coumarin glycosides

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 DMCVVAVPFHUPNH-UPPPXSOGSA-N
Standard InCHI InChI=1S/C20H26O10/c1-20(2,27)14(22)6-10-5-9-3-4-15(23)28-11(9)7-12(10)29-19-18(26)17(25)16(24)13(8-21)30-19/h3-5,7,13-14,16-19,21-22,24-27H,6,8H2,1-2H3/t13-,14-,16-,17+,18-,19-/m1/s1
SMILES CC(C)([C@@H](Cc1cc2ccc(=O)oc2cc1O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   426.15 Volume:   403.527
?
Van der Waals volume.
Dense:   1.056 LogP:   -0.597
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.659
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.988
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   6.0 Rigid Bonds:   18.0
TPSA:   170.05
?
Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   6.0 Rings:   3.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.303 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.136 Fsp3:   0.55
MCE-18:   76.419
?
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:   0.691 Fluc inhibitor:   0.164
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.972
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.063
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.121 Promiscuous compounds:   0.177

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.182 MDCK Permeability:   -5.074
Pgp-inhibitor:   0.0 Pgp-substrate:   0.002
PAMPA:   0.987
?
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):   0.003
20% Bioavailability (F20%):   0.343 30% Bioavailability (F30%):   0.897
50% Bioavailability (F50%):   0.898

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.899
Plasma Protein Binding (PPB):   62.446% Volume Distribution (VD):   -0.434
Fu: 39.998%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.0
BSEP inhibitor:   0.002

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.001
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.384
HLM stability:   0.042
?
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):  2.612 Half-life (T1/2):  3.159

ADMET: Toxicity

hERG Blockers:  0.03 hERG Blockers (10um):  0.072
Human Hepatotoxicity (H-HT):  0.665 Drug-induced Liver Injury (DILI):  0.712
AMES Toxicity:  0.883 Rat Oral Acute Toxicity:  0.05
Maximum Recommended Daily Dose:  0.183 Skin Sensitization:  0.971
Carcinogencity:  0.334 Eye Corrosion:  0.0
Eye Irritation:  0.034 Respiratory Toxicity:  0.035
Drug-induced Neurotoxicity:  0.019 Ototoxicity:  0.932
Hematotoxicity:  0.199 Drug-induced Nephrotoxicity:  0.597
Genotoxicity:  0.912 RPMI-8226 Immunitoxicity:  0.081
A549 Cytotoxicity:  0.172 Hek293 Cytotoxicity:  0.243
BCF:   0.157
?
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:   2.545
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.256
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.193
?
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
NPO3509 Angelica furcijuga Species Apiaceae Eukaryota roots Miyazaki prefecture, Japan n.a. PMID[9873511]
NPO3509 Angelica furcijuga Species Apiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3509 Angelica furcijuga Species Apiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO3509 Angelica furcijuga Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3509 Angelica furcijuga Species Apiaceae 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
NPT10 Individual protein Geminin Homo sapiens Potency n.a. 5.8 nM PMID[20000782]
NPT8 Individual protein DNA polymerase iota Homo sapiens Potency n.a. 7079.5 nM PMID[23823011]

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
NPT32 Organism Mus musculus Mus musculus IC50 > 100000.0 nM PMID[18178092]
NPT32 Organism Mus musculus Mus musculus Inhibition = 49.0 % PMID[18178092]
NPT29 Organism Rattus norvegicus Rattus norvegicus IC50 > 100000.0 nM PMID[18178092]
NPT29 Organism Rattus norvegicus Rattus norvegicus Inhibition = 5.8 % PMID[18178092]





 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 NPC85624 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
0.6377 Remote Similarity NPC103409
0.6197 Remote Similarity NPC96294
0.6154 Remote Similarity NPC296377
0.5667 Remote Similarity NPC609477
0.5652 Remote Similarity NPC78746
0.56 Remote Similarity NPC212670
0.56 Remote Similarity NPC206264
0.5455 Remote Similarity NPC485744
0.5405 Remote Similarity NPC52740
0.5385 Remote Similarity NPC469699
0.5286 Remote Similarity NPC253574
0.5286 Remote Similarity NPC98179
0.5263 Remote Similarity NPC41844
0.5161 Remote Similarity NPC485746
0.5122 Remote Similarity NPC470264
0.5063 Remote Similarity NPC213197
0.5057 Remote Similarity NPC284810
0.5055 Remote Similarity NPC485745

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC85624 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
0.56 Remote Similarity NPD1653 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