Natural Product: NPC67777

Natural Product IDNPC67777
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Fokienagarofuran D
IUPAC Name n.a.
Synonyms Fokienagarofuran D
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL487597
PubChem CID 11578600
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 CZZSDKFRUYZLHU-DQSPPWPVSA-N
Standard InCHI InChI=1S/C45H44O11/c1-28-25-35(53-40(48)31-19-11-6-12-20-31)38(52-29(2)46)44(27-51-39(47)30-17-9-5-10-18-30)36(54-41(49)32-21-13-7-14-22-32)26-34-37(45(28,44)56-43(34,3)4)55-42(50)33-23-15-8-16-24-33/h5-24,28,34-38H,25-27H2,1-4H3/t28-,34-,35+,36+,37-,38+,44-,45-/m1/s1
SMILES CC(=O)O[C@H]1[C@@H](OC(=O)c2ccccc2)C[C@H]([C@@]23[C@]1(COC(=O)c1ccccc1)[C@@H](OC(=O)c1ccccc1)C[C@H]([C@H]3OC(=O)c1ccccc1)C(O2)(C)C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   760.29 Volume:   778.853
?
Van der Waals volume.
Dense:   0.976 LogP:   5.295
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.332
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.437
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The logarithm of aqueous solubility value.
Rotatable Bonds:   15.0 Rigid Bonds:   43.0
TPSA:   140.73
?
Topological Polar Surface Area.
H-Bond Acceptor:   11.0
H-Bond Donor:   0.0 Rings:   7.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.121 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.831 Fsp3:   0.356
MCE-18:   196.23
?
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:   0.998 Fluc inhibitor:   0.159
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.006
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.615
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.254 Promiscuous compounds:   0.012

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.296 MDCK Permeability:   -4.71
Pgp-inhibitor:   0.999 Pgp-substrate:   0.026
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%):   0.0 30% Bioavailability (F30%):   0.001
50% Bioavailability (F50%):   0.778

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.997 MRP1:   1.0
Plasma Protein Binding (PPB):   96.538% Volume Distribution (VD):   -0.43
Fu: 3.383%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.998
OATP1B3 inhibitor:   0.985 BCRP inhibitor:   0.005
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   1.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.958
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.999 CYP3A4-substrate:   1.0
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):  1.12 Half-life (T1/2):  1.164

ADMET: Toxicity

hERG Blockers:  0.227 hERG Blockers (10um):  0.872
Human Hepatotoxicity (H-HT):  0.018 Drug-induced Liver Injury (DILI):  0.98
AMES Toxicity:  0.125 Rat Oral Acute Toxicity:  0.012
Maximum Recommended Daily Dose:  0.242 Skin Sensitization:  0.989
Carcinogencity:  0.62 Eye Corrosion:  0.0
Eye Irritation:  0.019 Respiratory Toxicity:  0.007
Drug-induced Neurotoxicity:  0.872 Ototoxicity:  0.256
Hematotoxicity:  0.005 Drug-induced Nephrotoxicity:  0.627
Genotoxicity:  0.053 RPMI-8226 Immunitoxicity:  0.039
A549 Cytotoxicity:  0.71 Hek293 Cytotoxicity:  0.815
BCF:   0.826
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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:   4.826
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.809
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.877
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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
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 = 36.0 nM PMID[9784175]
NPT139 Cell line HT-29 Homo sapiens IC50 = 58.0 nM PMID[11374943]
NPT88 Organism Mycobacterium tuberculosis Mycobacterium tuberculosis MIC = 105000.0 nM DrugMatrix in vitro pharmacology data

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 NPC67777 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 NPC139067
0.9344 High Similarity NPC177340
0.8871 High Similarity NPC191082
0.873 High Similarity NPC43241
0.8281 Intermediate Similarity NPC4341
0.7778 Intermediate Similarity NPC270498
0.7727 Intermediate Similarity NPC479047
0.7727 Intermediate Similarity NPC291638
0.7681 Intermediate Similarity NPC184747
0.7463 Intermediate Similarity NPC246480
0.7333 Intermediate Similarity NPC75600
0.7333 Intermediate Similarity NPC483884
0.7231 Intermediate Similarity NPC473081
0.7231 Intermediate Similarity NPC200592
0.7231 Intermediate Similarity NPC610542
0.7143 Intermediate Similarity NPC479044
0.7042 Intermediate Similarity NPC266265
0.6957 Remote Similarity NPC48017
0.6716 Remote Similarity NPC195647
0.6667 Remote Similarity NPC92293
0.662 Remote Similarity NPC147217
0.6528 Remote Similarity NPC473673
0.6438 Remote Similarity NPC472574
0.6267 Remote Similarity NPC70716
0.6267 Remote Similarity NPC95265
0.6184 Remote Similarity NPC473613
0.6111 Remote Similarity NPC17877
0.6087 Remote Similarity NPC283375
0.6087 Remote Similarity NPC183122
0.6053 Remote Similarity NPC97667
0.5974 Remote Similarity NPC473085
0.5949 Remote Similarity NPC88593
0.5946 Remote Similarity NPC137718
0.589 Remote Similarity NPC51314
0.5811 Remote Similarity NPC147880
0.5789 Remote Similarity NPC41481
0.5769 Remote Similarity NPC473112
0.5769 Remote Similarity NPC607428
0.575 Remote Similarity NPC14499
0.5733 Remote Similarity NPC27377
0.5714 Remote Similarity NPC479043
0.5696 Remote Similarity NPC479042
0.5658 Remote Similarity NPC471100
0.5658 Remote Similarity NPC605884
0.5634 Remote Similarity NPC474608
0.5581 Remote Similarity NPC176413
0.5581 Remote Similarity NPC483885
0.5526 Remote Similarity NPC148062
0.5467 Remote Similarity NPC473060
0.5467 Remote Similarity NPC163087
0.5455 Remote Similarity NPC171207
0.5443 Remote Similarity NPC96903
0.5402 Remote Similarity NPC294512
0.5357 Remote Similarity NPC610134
0.527 Remote Similarity NPC481047
0.527 Remote Similarity NPC481045
0.5263 Remote Similarity NPC483902
0.5263 Remote Similarity NPC472577
0.5256 Remote Similarity NPC254558
0.5256 Remote Similarity NPC471107
0.5195 Remote Similarity NPC483883
0.5195 Remote Similarity NPC151585
0.5169 Remote Similarity NPC483868
0.5128 Remote Similarity NPC270590
0.5056 Remote Similarity NPC479045

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC67777 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