Natural Product: NPC253730

Natural Product IDNPC253730
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Chalcomoracin
IUPAC Name [(1R,2S,6S)-2-[2,6-dihydroxy-4-(6-hydroxy-1-benzofuran-2-yl)phenyl]-6-(2,4-dihydroxyphenyl)-4-methylcyclohex-3-en-1-yl]-[2,4-dihydroxy-3-(3-methylbut-2-enyl)phenyl]methanone
Synonyms Chalcomoracin
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1808155
PubChem CID 14334313
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0003405] 2-arylbenzofuran flavonoids

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 SEHVRKPXIDOTRX-QQDDVHTNSA-N
Standard InCHI InChI=1S/C39H36O9/c1-19(2)4-8-26-30(42)11-10-27(38(26)46)39(47)36-28(25-9-7-23(40)17-31(25)43)12-20(3)13-29(36)37-32(44)14-22(15-33(37)45)34-16-21-5-6-24(41)18-35(21)48-34/h4-7,9-11,13-18,28-29,36,40-46H,8,12H2,1-3H3/t28-,29+,36-/m1/s1
SMILES CC(=CCc1c(O)ccc(c1O)C(=O)[C@H]1[C@H](C=C(C[C@@H]1c1ccc(cc1O)O)C)c1c(O)cc(cc1O)c1oc2c(c1)ccc(c2)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   648.24 Volume:   668.69
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Van der Waals volume.
Dense:   0.969 LogP:   5.425
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.052
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.745
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   36.0
TPSA:   171.82
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Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   7.0 Rings:   6.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.068 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.43 Fsp3:   0.205
MCE-18:   123.638
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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:   1.0 Fluc inhibitor:   0.624
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.878
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.935
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.312 Promiscuous compounds:   0.093

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.485 MDCK Permeability:   -4.84
Pgp-inhibitor:   0.004 Pgp-substrate:   0.06
PAMPA:   0.566
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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%):   0.977 30% Bioavailability (F30%):   0.998
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.986
Plasma Protein Binding (PPB):   93.915% Volume Distribution (VD):   0.263
Fu: 7.376%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.789
BSEP inhibitor:   0.589

ADMET: Metabolism

CYP1A2-inhibitor:   0.008 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.983 CYP2C19-substrate:   1.0
CYP2C9-inhibitor:   0.986 CYP2C9-substrate:   0.012
CYP2D6-inhibitor:   0.948 CYP2D6-substrate:   0.994
CYP3A4-inhibitor:   0.124 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   1.0
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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):  0.483 Half-life (T1/2):  3.283

ADMET: Toxicity

hERG Blockers:  0.039 hERG Blockers (10um):  0.744
Human Hepatotoxicity (H-HT):  0.934 Drug-induced Liver Injury (DILI):  0.733
AMES Toxicity:  0.463 Rat Oral Acute Toxicity:  0.857
Maximum Recommended Daily Dose:  0.996 Skin Sensitization:  0.983
Carcinogencity:  0.013 Eye Corrosion:  0.0
Eye Irritation:  0.579 Respiratory Toxicity:  0.996
Drug-induced Neurotoxicity:  0.008 Ototoxicity:  0.501
Hematotoxicity:  0.042 Drug-induced Nephrotoxicity:  0.641
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.136
A549 Cytotoxicity:  0.901 Hek293 Cytotoxicity:  0.997
BCF:   1.516
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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:   5.01
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.359
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.858
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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
NPO28803 Artocarpus chama Species Moraceae Eukaryota n.a. root n.a. PMID[15165133]
NPO27320 Morus notabilis Species Moraceae Eukaryota n.a. n.a. n.a. PMID[21737271]
NPO27089 Nectandra glabrescens Species Lauraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27320 Morus notabilis Species Moraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28584 Euphorbia indica Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27589 Artemisia lehmanniana Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO29149 Zexmenia phyllocephala Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27280 Stachys spectabilis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27478 Geodia japonica Species Geodiidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27071 Spirastrella coccinea Species Spirastrellidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27147 Habenaria repens Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27368 Sinularia mayi Species Alcyoniidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28803 Artocarpus chama Species Moraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27478 Geodia japonica Species Geodiidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29149 Zexmenia phyllocephala Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27147 Habenaria repens Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27280 Stachys spectabilis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27589 Artemisia lehmanniana Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27368 Sinularia mayi Species Alcyoniidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28803 Artocarpus chama Species Moraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28584 Euphorbia indica Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27089 Nectandra glabrescens Species Lauraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27071 Spirastrella coccinea Species Spirastrellidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27320 Morus notabilis 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
NPT178 Individual protein Protein-tyrosine phosphatase 1B Homo sapiens IC50 = 1940.0 nM PMID[29275228]
NPT22768 Single protein Phosphotyrosine protein phosphatase Mycobacterium tuberculosis IC50 = 1445.44 nM PMID[29275228]
NPT22768 Single protein Phosphotyrosine protein phosphatase Mycobacterium tuberculosis IC50 = 1430.0 nM PMID[29275228]
NPT24759 Single protein Protein-tyrosine phosphatase G1 Homo sapiens IC50 = 8520.0 nM PMID[29275228]
NPT3985 Individual protein Probable low molecular weight protein-tyrosine-phosphatase Mycobacterium tuberculosis IC50 = 2430.0 nM PMID[29275228]
NPT30142 Single protein Enoyl-[acyl-carrier-protein] reductase (FabI) Staphylococcus aureus IC50 = 5500.0 nM PMID[32883635]
NPT3997 Individual protein Hematopoietic cell protein-tyrosine phosphatase 70Z-PEP Homo sapiens IC50 = 7290.0 nM PMID[29275228]

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 = 109.99 % PMID[21737271]
NPT520 Cell line 3T3-L1 Mus musculus Activity = 125.36 % PMID[21737271]
NPT16 Organism Staphylococcus aureus Staphylococcus aureus MIC = 4.0 ug.mL-1 PMID[32883635]

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 NPC253730 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
1.0 High Similarity NPC286230
0.8333 Intermediate Similarity NPC169471
0.8333 Intermediate Similarity NPC177836
0.617 Remote Similarity NPC611245
0.5727 Remote Similarity NPC101991
0.5701 Remote Similarity NPC56049
0.5476 Remote Similarity NPC167576
0.52 Remote Similarity NPC110882
0.5149 Remote Similarity NPC271944
0.5138 Remote Similarity NPC59491
0.5138 Remote Similarity NPC24748
0.5045 Remote Similarity NPC477529

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC253730 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