Natural Product: NPC139067

Natural Product IDNPC139067
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Fokienagarofuran A
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL504778
PubChem CID 11571180
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000264] Organic acids and derivatives
      • [CHEMONTID:0000265] Carboxylic acids and derivatives
        • [CHEMONTID:0002995] Pentacarboxylic acids and derivatives

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 NDGTVMJNLFEYMW-NPIRVHPYSA-N
Standard InCHI InChI=1S/C40H42O11/c1-24-21-31(49-36(44)28-17-11-7-12-18-28)34(48-26(3)42)39(23-46-35(43)27-15-9-6-10-16-27)32(50-37(45)29-19-13-8-14-20-29)22-30-33(47-25(2)41)40(24,39)51-38(30,4)5/h6-20,24,30-34H,21-23H2,1-5H3/t24-,30-,31+,32+,33-,34+,39-,40-/m1/s1
SMILES C[C@@H]1C[C@@H]([C@@H]([C@@]2(COC(=O)c3ccccc3)[C@H](C[C@@H]3[C@H]([C@]12OC3(C)C)OC(=O)C)OC(=O)c1ccccc1)OC(=O)C)OC(=O)c1ccccc1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   698.27 Volume:   708.839
?
Van der Waals volume.
Dense:   0.985 LogP:   4.286
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.847
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.6
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   14.0 Rigid Bonds:   37.0
TPSA:   140.73
?
Topological Polar Surface Area.
H-Bond Acceptor:   11.0
H-Bond Donor:   0.0 Rings:   6.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.199 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.791 Fsp3:   0.425
MCE-18:   179.825
?
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:   0.926 Fluc inhibitor:   0.162
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.006
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.416
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.231 Promiscuous compounds:   0.013

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.192 MDCK Permeability:   -4.721
Pgp-inhibitor:   1.0 Pgp-substrate:   0.085
PAMPA:   0.037
?
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%):   0.005 30% Bioavailability (F30%):   0.175
50% Bioavailability (F50%):   0.961

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.639 MRP1:   1.0
Plasma Protein Binding (PPB):   96.811% Volume Distribution (VD):   -0.39
Fu: 2.799%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.947 BCRP inhibitor:   0.038
BSEP inhibitor:   0.998

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.551
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.567
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.615
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.009
CYP3A4-inhibitor:   0.182 CYP3A4-substrate:   0.989
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   1.0
?
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):  2.096 Half-life (T1/2):  1.06

ADMET: Toxicity

hERG Blockers:  0.168 hERG Blockers (10um):  0.809
Human Hepatotoxicity (H-HT):  0.039 Drug-induced Liver Injury (DILI):  0.93
AMES Toxicity:  0.16 Rat Oral Acute Toxicity:  0.056
Maximum Recommended Daily Dose:  0.453 Skin Sensitization:  0.989
Carcinogencity:  0.542 Eye Corrosion:  0.0
Eye Irritation:  0.084 Respiratory Toxicity:  0.034
Drug-induced Neurotoxicity:  0.683 Ototoxicity:  0.218
Hematotoxicity:  0.007 Drug-induced Nephrotoxicity:  0.53
Genotoxicity:  0.16 RPMI-8226 Immunitoxicity:  0.055
A549 Cytotoxicity:  0.31 Hek293 Cytotoxicity:  0.372
BCF:   0.911
?
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:   4.439
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.726
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.612
?
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
NPO22423 Microtropis fokienensis Species Celastraceae Eukaryota stem n.a. n.a. PMID[16643054]
NPO22423 Microtropis fokienensis Species Celastraceae Eukaryota leaves n.a. n.a. PMID[17125218]
NPO22423 Microtropis fokienensis Species Celastraceae Eukaryota n.a. root n.a. PMID[17315960]
NPO22423 Microtropis fokienensis Species Celastraceae Eukaryota roots n.a. n.a. PMID[17315960]
NPO22421 Microtropis japonica Species Celastraceae Eukaryota stem n.a. n.a. PMID[18471021]
NPO22421 Microtropis japonica Species Celastraceae Eukaryota n.a. stem n.a. PMID[18471021]
NPO22423 Microtropis fokienensis Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[18590313]
NPO22421 Microtropis japonica Species Celastraceae Eukaryota Stems n.a. n.a. PMID[19534471]
NPO22421 Microtropis japonica Species Celastraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22423 Microtropis fokienensis Species Celastraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22421 Microtropis japonica Species Celastraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22423 Microtropis fokienensis Species Celastraceae 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
NPT168 Cell line P388 Mus musculus IC50 = 32.0 nM PubChem BioAssay data set
NPT139 Cell line HT-29 Homo sapiens IC50 = 54.0 nM PubChem BioAssay data set
NPT88 Organism Mycobacterium tuberculosis Mycobacterium tuberculosis MIC = 85900.0 nM DOI[10.6019/CHEMBL1201861]

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 NPC139067 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
0.9344 High Similarity NPC67777
0.9344 High Similarity NPC43241
0.8871 High Similarity NPC4341
0.873 High Similarity NPC177340
0.8281 Intermediate Similarity NPC479047
0.8281 Intermediate Similarity NPC191082
0.8281 Intermediate Similarity NPC291638
0.8209 Intermediate Similarity NPC184747
0.7778 Intermediate Similarity NPC473081
0.7647 Intermediate Similarity NPC479044
0.7463 Intermediate Similarity NPC48017
0.7231 Intermediate Similarity NPC195647
0.7231 Intermediate Similarity NPC270498
0.6957 Remote Similarity NPC246480
0.6883 Remote Similarity NPC75600
0.6883 Remote Similarity NPC483884
0.6857 Remote Similarity NPC147217
0.6716 Remote Similarity NPC200592
0.6716 Remote Similarity NPC610542
0.6622 Remote Similarity NPC473613
0.6575 Remote Similarity NPC266265
0.6571 Remote Similarity NPC17877
0.6486 Remote Similarity NPC70716
0.6438 Remote Similarity NPC472574
0.64 Remote Similarity NPC473085
0.6267 Remote Similarity NPC97667
0.6216 Remote Similarity NPC41481
0.6216 Remote Similarity NPC92293
0.6184 Remote Similarity NPC473112
0.6164 Remote Similarity NPC27377
0.6164 Remote Similarity NPC137718
0.6111 Remote Similarity NPC51314
0.6087 Remote Similarity NPC474608
0.6081 Remote Similarity NPC473673
0.6053 Remote Similarity NPC95265
0.6027 Remote Similarity NPC147880
0.5974 Remote Similarity NPC607428
0.5921 Remote Similarity NPC479043
0.5897 Remote Similarity NPC479042
0.5867 Remote Similarity NPC471100
0.5867 Remote Similarity NPC605884
0.575 Remote Similarity NPC88593
0.5733 Remote Similarity NPC148062
0.5676 Remote Similarity NPC473060
0.5658 Remote Similarity NPC171207
0.5634 Remote Similarity NPC283375
0.5634 Remote Similarity NPC183122
0.56 Remote Similarity NPC483883
0.56 Remote Similarity NPC151585
0.5556 Remote Similarity NPC14499
0.5479 Remote Similarity NPC481047
0.5479 Remote Similarity NPC481045
0.5455 Remote Similarity NPC254558
0.5455 Remote Similarity NPC471107
0.5402 Remote Similarity NPC176413
0.5402 Remote Similarity NPC483885
0.5263 Remote Similarity NPC483902
0.5263 Remote Similarity NPC472577
0.525 Remote Similarity NPC96903
0.5227 Remote Similarity NPC294512
0.5227 Remote Similarity NPC479045
0.5195 Remote Similarity NPC90257
0.5195 Remote Similarity NPC483845
0.5195 Remote Similarity NPC69357
0.5176 Remote Similarity NPC610134
0.5128 Remote Similarity NPC158663
0.5119 Remote Similarity NPC479040
0.5065 Remote Similarity NPC70973
0.5065 Remote Similarity NPC163087
0.5065 Remote Similarity NPC473111
0.5062 Remote Similarity NPC210591
0.506 Remote Similarity NPC483887
0.506 Remote Similarity NPC158020

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC139067 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