Natural Product: NPC231712

Natural Product IDNPC231712
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Isohopeaphenol A
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL510147
PubChem CID 11967401
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 YQQUILZPDYJDQJ-CMUHVXPYSA-N
Standard InCHI InChI=1S/C56H42O12/c57-29-9-1-25(2-10-29)45-47-37(17-33(61)21-41(47)65)53-49-39(19-35(63)23-43(49)67-55(53)27-5-13-31(59)14-6-27)51(45)52-40-20-36(64)24-44-50(40)54(56(68-44)28-7-15-32(60)16-8-28)38-18-34(62)22-42(66)48(38)46(52)26-3-11-30(58)12-4-26/h1-24,45-46,51-66H/t45-,46-,51-,52+,53+,54+,55-,56-/m0/s1
SMILES c1cc(ccc1[C@H]1c2c(cc(cc2O)O)[C@@H]2c3c(cc(cc3O[C@H]2c2ccc(cc2)O)O)[C@@H]1[C@@H]1c2cc(cc3c2[C@@H](c2cc(cc(c2[C@@H]1c1ccc(cc1)O)O)O)[C@H](c1ccc(cc1)O)O3)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   906.27 Volume:   916.662
?
Van der Waals volume.
Dense:   0.989 LogP:   5.255
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.048
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.624
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   64.0
TPSA:   220.76
?
Topological Polar Surface Area.
H-Bond Acceptor:   12.0
H-Bond Donor:   10.0 Rings:   12.0
Heavy Atoms:   12.0

MedChem Properties

QED Drug-Likeness Score:   0.078 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.117 Fsp3:   0.143
MCE-18:   221.0
?
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:   0.848
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.096
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.33
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.67 Promiscuous compounds:   0.232

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.551 MDCK Permeability:   -4.791
Pgp-inhibitor:   0.0 Pgp-substrate:   0.976
PAMPA:   0.003
?
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%):   0.985 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.998
Plasma Protein Binding (PPB):   90.298% Volume Distribution (VD):   -0.105
Fu: 13.816%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.301
BSEP inhibitor:   0.986

ADMET: Metabolism

CYP1A2-inhibitor:   0.973 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.965 CYP2C19-substrate:   0.646
CYP2C9-inhibitor:   1.0 CYP2C9-substrate:   0.004
CYP2D6-inhibitor:   0.989 CYP2D6-substrate:   0.997
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.79
HLM stability:   0.995
?
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):  2.207 Half-life (T1/2):  5.189

ADMET: Toxicity

hERG Blockers:  0.635 hERG Blockers (10um):  0.914
Human Hepatotoxicity (H-HT):  0.998 Drug-induced Liver Injury (DILI):  0.079
AMES Toxicity:  0.822 Rat Oral Acute Toxicity:  0.384
Maximum Recommended Daily Dose:  1.0 Skin Sensitization:  0.996
Carcinogencity:  0.015 Eye Corrosion:  0.0
Eye Irritation:  0.776 Respiratory Toxicity:  0.632
Drug-induced Neurotoxicity:  0.627 Ototoxicity:  0.967
Hematotoxicity:  0.002 Drug-induced Nephrotoxicity:  0.396
Genotoxicity:  1.0 RPMI-8226 Immunitoxicity:  0.022
A549 Cytotoxicity:  0.994 Hek293 Cytotoxicity:  1.0
BCF:   1.162
?
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:   5.904
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.903
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.012
?
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
NPO32506 Vatica oblongifolia Species Dipterocarpaceae Eukaryota stem bark n.a. n.a. PMID[12444676]

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
NPT602 Organism Mycobacterium smegmatis Mycobacterium smegmatis MIC > 100.0 ug.mL-1 PMID[25734623]
NPT16 Organism Staphylococcus aureus Staphylococcus aureus MIC > 100.0 ug.mL-1 PMID[25734623]

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 NPC231712 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 NPC242774
1.0 High Similarity NPC224921
1.0 High Similarity NPC237546
0.8333 Intermediate Similarity NPC233886
0.7164 Intermediate Similarity NPC180605
0.7059 Intermediate Similarity NPC122980
0.7059 Intermediate Similarity NPC148516
0.7059 Intermediate Similarity NPC107862
0.7059 Intermediate Similarity NPC177172
0.6944 Remote Similarity NPC105073
0.6944 Remote Similarity NPC224528
0.6818 Remote Similarity NPC488747
0.6707 Remote Similarity NPC48880
0.6567 Remote Similarity NPC174787
0.6567 Remote Similarity NPC213607
0.6324 Remote Similarity NPC120633
0.625 Remote Similarity NPC176804
0.625 Remote Similarity NPC71686
0.6232 Remote Similarity NPC473018
0.6212 Remote Similarity NPC157081
0.6027 Remote Similarity NPC261896
0.5467 Remote Similarity NPC218801
0.5366 Remote Similarity NPC111134
0.5352 Remote Similarity NPC149633
0.5263 Remote Similarity NPC97578
0.5238 Remote Similarity NPC9292
0.5238 Remote Similarity NPC145659
0.5211 Remote Similarity NPC478982
0.5205 Remote Similarity NPC182509
0.5205 Remote Similarity NPC329836

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC231712 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