Natural Product: NPC221398

Natural Product IDNPC221398
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
PJHJORWYAZKNAL-MFYRMPRMSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 51136406
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0002506] Isoflavonoids
        • [CHEMONTID:0000507] Isoflavonoid O-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 PJHJORWYAZKNAL-MFYRMPRMSA-N
Standard InCHI InChI=1S/C27H30O13/c1-35-14-4-2-13(3-5-14)17-9-36-18-8-15(6-7-16(18)20(17)29)39-25-23(32)22(31)21(30)19(40-25)10-37-26-24(33)27(34,11-28)12-38-26/h2-9,19,21-26,28,30-34H,10-12H2,1H3/t19-,21-,22+,23-,24+,25-,26-,27-/m1/s1
SMILES COc1ccc(cc1)c1coc2cc(ccc2c1=O)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO[C@H]2[C@@H]([C@@](CO)(CO2)O)O)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   562.17 Volume:   525.947
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Van der Waals volume.
Dense:   1.069 LogP:   1.295
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.806
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.875
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The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   29.0
TPSA:   197.74
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Topological Polar Surface Area.
H-Bond Acceptor:   13.0
H-Bond Donor:   6.0 Rings:   5.0
Heavy Atoms:   13.0

MedChem Properties

QED Drug-Likeness Score:   0.198 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.463 Fsp3:   0.444
MCE-18:   110.769
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.516 Fluc inhibitor:   0.317
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.861
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.214
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.066 Promiscuous compounds:   0.082

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.219 MDCK Permeability:   -5.184
Pgp-inhibitor:   0.0 Pgp-substrate:   0.3
PAMPA:   0.996
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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):   0.979
20% Bioavailability (F20%):   0.164 30% Bioavailability (F30%):   0.986
50% Bioavailability (F50%):   0.947

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.002 MRP1:   0.167
Plasma Protein Binding (PPB):   80.818% Volume Distribution (VD):   -0.305
Fu: 19.965%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.113
BSEP inhibitor:   0.006

ADMET: Metabolism

CYP1A2-inhibitor:   0.004 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.035 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.911
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.999
HLM stability:   0.0
?
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):  1.863 Half-life (T1/2):  2.87

ADMET: Toxicity

hERG Blockers:  0.075 hERG Blockers (10um):  0.1
Human Hepatotoxicity (H-HT):  0.769 Drug-induced Liver Injury (DILI):  0.977
AMES Toxicity:  0.974 Rat Oral Acute Toxicity:  0.032
Maximum Recommended Daily Dose:  0.104 Skin Sensitization:  0.97
Carcinogencity:  0.497 Eye Corrosion:  0.0
Eye Irritation:  0.136 Respiratory Toxicity:  0.024
Drug-induced Neurotoxicity:  0.064 Ototoxicity:  0.947
Hematotoxicity:  0.256 Drug-induced Nephrotoxicity:  0.875
Genotoxicity:  0.849 RPMI-8226 Immunitoxicity:  0.208
A549 Cytotoxicity:  0.519 Hek293 Cytotoxicity:  0.517
BCF:   0.589
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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:   3.289
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.813
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.105
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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
NPO29215 Millettia nitida Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO29215 Millettia nitida Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO29215 Millettia nitida 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

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 NPC221398 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
0.8605 High Similarity NPC235575
0.7073 Intermediate Similarity NPC45165
0.7065 Intermediate Similarity NPC51326
0.6737 Remote Similarity NPC231194
0.6506 Remote Similarity NPC25547
0.6395 Remote Similarity NPC476442
0.6395 Remote Similarity NPC215512
0.6354 Remote Similarity NPC257714
0.6222 Remote Similarity NPC43761
0.6105 Remote Similarity NPC475155
0.6044 Remote Similarity NPC229729
0.5955 Remote Similarity NPC161749
0.5909 Remote Similarity NPC135345
0.5843 Remote Similarity NPC211014
0.5699 Remote Similarity NPC601607
0.5612 Remote Similarity NPC479405
0.5604 Remote Similarity NPC603782
0.5556 Remote Similarity NPC479404
0.5543 Remote Similarity NPC73511
0.5455 Remote Similarity NPC303913
0.5444 Remote Similarity NPC487214
0.534 Remote Similarity NPC600130
0.5294 Remote Similarity NPC65711
0.5283 Remote Similarity NPC475261
0.5269 Remote Similarity NPC258035
0.5256 Remote Similarity NPC182428
0.5238 Remote Similarity NPC171533
0.5161 Remote Similarity NPC478528
0.5122 Remote Similarity NPC136095
0.51 Remote Similarity NPC295613
0.51 Remote Similarity NPC473657
0.5056 Remote Similarity NPC227980
0.5054 Remote Similarity NPC160515
0.5044 Remote Similarity NPC473895

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC221398 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
0.5955 Remote Similarity NPD4381 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