Natural Product: NPC471744

Natural Product IDNPC471744
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3-Acetyl Catechin
IUPAC Name [(2S,3S)-2-(3,4-dihydroxyphenyl)-5,7-dihydroxy-4-oxo-2,3-dihydrochromen-3-yl] acetate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3109442
PubChem CID 76313957
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0000337] Flavans
          • [CHEMONTID:0001632] Flavanones
            • [CHEMONTID:0001362] Flavanonols

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 NPWRSXJQDKRXOR-DLBZAZTESA-N
Standard InCHI InChI=1S/C17H14O8/c1-7(18)24-17-15(23)14-12(22)5-9(19)6-13(14)25-16(17)8-2-3-10(20)11(21)4-8/h2-6,16-17,19-22H,1H3/t16-,17+/m0/s1
SMILES CC(=O)OC1C(OC2=CC(=CC(=C2C1=O)O)O)C3=CC(=C(C=C3)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   346.07 Volume:   326.149
?
Van der Waals volume.
Dense:   1.061 LogP:   1.386
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.551
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.603
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The logarithm of aqueous solubility value.
Rotatable Bonds:   3.0 Rigid Bonds:   19.0
TPSA:   133.52
?
Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   4.0 Rings:   3.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.477 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.453 Fsp3:   0.176
MCE-18:   64.0
?
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:   Rejected
Golden Triangle Rule:   Rejected BMS Rule:   1
Chelating Alert:   1 PAINS Alert:   1
Colloidal aggregators:   0.581 Fluc inhibitor:   0.283
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.437
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.277
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.611 Promiscuous compounds:   0.054

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.505 MDCK Permeability:   -4.82
Pgp-inhibitor:   0.212 Pgp-substrate:   0.097
PAMPA:   0.495
?
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):   0.212
20% Bioavailability (F20%):   0.937 30% Bioavailability (F30%):   0.997
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.811
Plasma Protein Binding (PPB):   93.017% Volume Distribution (VD):   -0.606
Fu: 5.919%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.98
OATP1B3 inhibitor:   0.997 BCRP inhibitor:   0.516
BSEP inhibitor:   0.079

ADMET: Metabolism

CYP1A2-inhibitor:   0.941 CYP1A2-substrate:   0.009
CYP2C19-inhibitor:   0.014 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.666 CYP2C9-substrate:   0.073
CYP2D6-inhibitor:   0.454 CYP2D6-substrate:   0.998
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.023
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.98
HLM stability:   0.568
?
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):  10.438 Half-life (T1/2):  1.356

ADMET: Toxicity

hERG Blockers:  0.042 hERG Blockers (10um):  0.593
Human Hepatotoxicity (H-HT):  0.586 Drug-induced Liver Injury (DILI):  0.582
AMES Toxicity:  0.725 Rat Oral Acute Toxicity:  0.576
Maximum Recommended Daily Dose:  0.708 Skin Sensitization:  0.951
Carcinogencity:  0.491 Eye Corrosion:  0.006
Eye Irritation:  0.946 Respiratory Toxicity:  0.337
Drug-induced Neurotoxicity:  0.044 Ototoxicity:  0.621
Hematotoxicity:  0.071 Drug-induced Nephrotoxicity:  0.142
Genotoxicity:  0.989 RPMI-8226 Immunitoxicity:  0.037
A549 Cytotoxicity:  0.749 Hek293 Cytotoxicity:  0.697
BCF:   0.925
?
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:   3.484
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.517
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.046
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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
NPO33509 byrsonima coccolobifolia Species Malpighiaceae Eukaryota leaves and stems cerrado at the Federal University of So Carlos (UFSCar), So Carlos, SP, Brazil 2011-Jul PMID[24521209]

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
NPT1662 Individual protein Arginase Leishmania amazonensis IC50 = 3700.0 nM PMID[19687243]

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 NPC471744 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
0.7885 Intermediate Similarity NPC609747
0.7273 Intermediate Similarity NPC112418
0.661 Remote Similarity NPC295650
0.6562 Remote Similarity NPC270578
0.6562 Remote Similarity NPC160156
0.6562 Remote Similarity NPC250963
0.6562 Remote Similarity NPC274256
0.6562 Remote Similarity NPC92565
0.6562 Remote Similarity NPC109582
0.6562 Remote Similarity NPC291220
0.6562 Remote Similarity NPC52382
0.6491 Remote Similarity NPC471515
0.614 Remote Similarity NPC36835
0.614 Remote Similarity NPC246162
0.614 Remote Similarity NPC9743
0.614 Remote Similarity NPC260491
0.614 Remote Similarity NPC61506
0.614 Remote Similarity NPC240476
0.5965 Remote Similarity NPC471500
0.5965 Remote Similarity NPC321011
0.5965 Remote Similarity NPC294852
0.5965 Remote Similarity NPC188679
0.5833 Remote Similarity NPC471745
0.5672 Remote Similarity NPC153342
0.5345 Remote Similarity NPC62290
0.5345 Remote Similarity NPC142731
0.5345 Remote Similarity NPC326506
0.5294 Remote Similarity NPC482602
0.5085 Remote Similarity NPC261619
0.5085 Remote Similarity NPC61477
0.5085 Remote Similarity NPC78770
0.5085 Remote Similarity NPC219876
0.5085 Remote Similarity NPC126029
0.5085 Remote Similarity NPC15658

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC471744 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
0.5085 Remote Similarity NPD1612 Clinical (unspecified phase)
0.5085 Remote 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