Natural Product: NPC171932

Natural Product IDNPC171932
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Catechin-(3'->0->3''')-Afzelechin
IUPAC Name (2R,3S)-2-[4-hydroxy-3-[2-hydroxy-5-[(2R,3S)-3,5,7-trihydroxy-3,4-dihydro-2H-chromen-2-yl]phenoxy]phenyl]-3,4-dihydro-2H-chromene-3,5,7-triol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL499952
PubChem CID 11272988
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0000337] Flavans
          • [CHEMONTID:0003012] Flavan-3-ols
            • [CHEMONTID:0001584] Catechins

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 QDQUMKMBQVBHBC-BAAZAXTHSA-N
Standard InCHI InChI=1S/C30H26O11/c31-15-7-21(35)17-11-23(37)29(40-25(17)9-15)13-1-3-19(33)27(5-13)39-28-6-14(2-4-20(28)34)30-24(38)12-18-22(36)8-16(32)10-26(18)41-30/h1-10,23-24,29-38H,11-12H2/t23-,24-,29+,30+/m0/s1
SMILES c1cc(c(cc1[C@@H]1[C@H](Cc2c(cc(cc2O1)O)O)O)Oc1cc(ccc1O)[C@@H]1[C@H](Cc2c(cc(cc2O1)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   562.15 Volume:   541.152
?
Van der Waals volume.
Dense:   1.039 LogP:   1.285
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.617
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.984
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   34.0
TPSA:   189.53
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Topological Polar Surface Area.
H-Bond Acceptor:   11.0
H-Bond Donor:   8.0 Rings:   6.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.181 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.249 Fsp3:   0.2
MCE-18:   120.0
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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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.753 Fluc inhibitor:   0.323
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.602
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.472
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.48 Promiscuous compounds:   0.22

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.863 MDCK Permeability:   -4.979
Pgp-inhibitor:   0.001 Pgp-substrate:   0.209
PAMPA:   0.16
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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):   0.0
20% Bioavailability (F20%):   0.511 30% Bioavailability (F30%):   0.997
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.005 MRP1:   0.941
Plasma Protein Binding (PPB):   94.219% Volume Distribution (VD):   0.172
Fu: 6.702%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.105
BSEP inhibitor:   0.145

ADMET: Metabolism

CYP1A2-inhibitor:   0.088 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.01 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.014 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.013 CYP3A4-substrate:   0.03
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
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):  9.012 Half-life (T1/2):  3.321

ADMET: Toxicity

hERG Blockers:  0.189 hERG Blockers (10um):  0.657
Human Hepatotoxicity (H-HT):  0.809 Drug-induced Liver Injury (DILI):  0.492
AMES Toxicity:  0.516 Rat Oral Acute Toxicity:  0.487
Maximum Recommended Daily Dose:  0.969 Skin Sensitization:  0.814
Carcinogencity:  0.195 Eye Corrosion:  0.0
Eye Irritation:  0.808 Respiratory Toxicity:  0.838
Drug-induced Neurotoxicity:  0.099 Ototoxicity:  0.71
Hematotoxicity:  0.047 Drug-induced Nephrotoxicity:  0.344
Genotoxicity:  0.994 RPMI-8226 Immunitoxicity:  0.174
A549 Cytotoxicity:  0.949 Hek293 Cytotoxicity:  0.983
BCF:   1.036
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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:   3.339
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.454
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.96
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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
NPO32566 periploca aphylla Species Apocynaceae Eukaryota n.a. n.a. n.a. PMID[10869229]
NPO32566 periploca aphylla Species Apocynaceae Eukaryota n.a. n.a. n.a. PMID[15387640]

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
NPT2 Others Unspecified n.a. IC50 = 19700.0 nM PubChem BioAssay data set

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 NPC171932 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
0.7797 Intermediate Similarity NPC28440
0.7736 Intermediate Similarity NPC16435
0.74 Intermediate Similarity NPC207179
0.74 Intermediate Similarity NPC167571
0.74 Intermediate Similarity NPC278552
0.7115 Intermediate Similarity NPC261619
0.7115 Intermediate Similarity NPC61477
0.7115 Intermediate Similarity NPC78770
0.7115 Intermediate Similarity NPC219876
0.7115 Intermediate Similarity NPC126029
0.7115 Intermediate Similarity NPC15658
0.6727 Remote Similarity NPC61946
0.6481 Remote Similarity NPC47398
0.6481 Remote Similarity NPC234333
0.6481 Remote Similarity NPC260898
0.6415 Remote Similarity NPC268266
0.6415 Remote Similarity NPC42760
0.6415 Remote Similarity NPC220825
0.6415 Remote Similarity NPC268342
0.6406 Remote Similarity NPC308402
0.5455 Remote Similarity NPC58190
0.5455 Remote Similarity NPC108811
0.5455 Remote Similarity NPC9636
0.5455 Remote Similarity NPC170103
0.5455 Remote Similarity NPC236202
0.5455 Remote Similarity NPC262911
0.5455 Remote Similarity NPC202742
0.5373 Remote Similarity NPC246202
0.5373 Remote Similarity NPC224161
0.5373 Remote Similarity NPC46335
0.5373 Remote Similarity NPC279406
0.5373 Remote Similarity NPC486519
0.5224 Remote Similarity NPC277331
0.5224 Remote Similarity NPC100482
0.5211 Remote Similarity NPC211561
0.5147 Remote Similarity NPC294558
0.5147 Remote Similarity NPC18185
0.5147 Remote Similarity NPC263940
0.5088 Remote Similarity NPC482472
0.5077 Remote Similarity NPC477841
0.5068 Remote Similarity NPC278548

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC171932 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
0.7115 Intermediate Similarity NPD1612 Clinical (unspecified phase)
0.7115 Intermediate Similarity NPD1613 Phase 4

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