Natural Product: NPC184747

Natural Product IDNPC184747
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
BLOHSDHMGDNCOV-UDJQVXKASA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL509571
PubChem CID 11600035
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 BLOHSDHMGDNCOV-UDJQVXKASA-N
Standard InCHI InChI=1S/C38H46O11/c1-22(2)18-31(41)44-21-37-30(48-35(43)27-16-12-9-13-17-27)20-28-32(45-24(4)39)38(37,49-36(28,6)7)23(3)19-29(33(37)46-25(5)40)47-34(42)26-14-10-8-11-15-26/h8-17,22-23,28-30,32-33H,18-21H2,1-7H3/t23-,28-,29+,30+,32-,33+,37-,38-/m1/s1
SMILES CC(CC(=O)OC[C@@]12[C@@H](OC(=O)c3ccccc3)C[C@@H]3[C@H]([C@]2(OC3(C)C)[C@@H](C[C@@H]([C@@H]1OC(=O)C)OC(=O)c1ccccc1)C)OC(=O)C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   678.3 Volume:   690.713
?
Van der Waals volume.
Dense:   0.982 LogP:   4.315
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.727
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.6
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   15.0 Rigid Bonds:   31.0
TPSA:   140.73
?
Topological Polar Surface Area.
H-Bond Acceptor:   11.0
H-Bond Donor:   0.0 Rings:   5.0
Heavy Atoms:   11.0

MedChem Properties

QED Drug-Likeness Score:   0.233 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.894 Fsp3:   0.553
MCE-18:   166.169
?
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:   0.916 Fluc inhibitor:   0.004
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.004
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.173
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.185 Promiscuous compounds:   0.121

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.002 MDCK Permeability:   -4.672
Pgp-inhibitor:   0.878 Pgp-substrate:   0.123
PAMPA:   0.224
?
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%):   0.004 30% Bioavailability (F30%):   0.048
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.815 MRP1:   1.0
Plasma Protein Binding (PPB):   93.787% Volume Distribution (VD):   -0.3
Fu: 6.025%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.987 BCRP inhibitor:   0.002
BSEP inhibitor:   0.997

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.998
CYP2C19-inhibitor:   0.007 CYP2C19-substrate:   0.911
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.007
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.056
CYP3A4-inhibitor:   0.994 CYP3A4-substrate:   0.996
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.998
?
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):  3.813 Half-life (T1/2):  0.699

ADMET: Toxicity

hERG Blockers:  0.111 hERG Blockers (10um):  0.64
Human Hepatotoxicity (H-HT):  0.137 Drug-induced Liver Injury (DILI):  0.913
AMES Toxicity:  0.346 Rat Oral Acute Toxicity:  0.157
Maximum Recommended Daily Dose:  0.384 Skin Sensitization:  0.991
Carcinogencity:  0.517 Eye Corrosion:  0.0
Eye Irritation:  0.07 Respiratory Toxicity:  0.049
Drug-induced Neurotoxicity:  0.548 Ototoxicity:  0.371
Hematotoxicity:  0.038 Drug-induced Nephrotoxicity:  0.814
Genotoxicity:  0.37 RPMI-8226 Immunitoxicity:  0.085
A549 Cytotoxicity:  0.3 Hek293 Cytotoxicity:  0.151
BCF:   0.934
?
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:   4.103
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.806
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.468
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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]
NPO22423 Microtropis fokienensis Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[18590313]
NPO22423 Microtropis fokienensis Species Celastraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
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 = 51.0 nM PMID[9784175]
NPT139 Cell line HT-29 Homo sapiens IC50 = 82.0 nM PubChem BioAssay data set

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 NPC184747 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
0.8906 High Similarity NPC4341
0.8333 Intermediate Similarity NPC479047
0.8333 Intermediate Similarity NPC191082
0.8333 Intermediate Similarity NPC291638
0.8209 Intermediate Similarity NPC139067
0.7714 Intermediate Similarity NPC479044
0.7681 Intermediate Similarity NPC67777
0.7681 Intermediate Similarity NPC43241
0.7183 Intermediate Similarity NPC177340
0.7059 Intermediate Similarity NPC473081
0.6962 Remote Similarity NPC75600
0.6962 Remote Similarity NPC483884
0.6667 Remote Similarity NPC17877
0.6571 Remote Similarity NPC195647
0.6571 Remote Similarity NPC270498
0.6364 Remote Similarity NPC70716
0.6316 Remote Similarity NPC41481
0.6282 Remote Similarity NPC473613
0.6267 Remote Similarity NPC137718
0.6216 Remote Similarity NPC51314
0.6154 Remote Similarity NPC97667
0.6133 Remote Similarity NPC48017
0.6133 Remote Similarity NPC147880
0.6111 Remote Similarity NPC200592
0.6111 Remote Similarity NPC610542
0.6076 Remote Similarity NPC473085
0.6053 Remote Similarity NPC27377
0.6026 Remote Similarity NPC479043
0.5974 Remote Similarity NPC471100
0.5974 Remote Similarity NPC605884
0.5949 Remote Similarity NPC95265
0.5897 Remote Similarity NPC472574
0.5875 Remote Similarity NPC473112
0.5844 Remote Similarity NPC148062
0.5802 Remote Similarity NPC479042
0.5789 Remote Similarity NPC473060
0.5714 Remote Similarity NPC246480
0.5679 Remote Similarity NPC607428
0.5641 Remote Similarity NPC147217
0.557 Remote Similarity NPC254558
0.557 Remote Similarity NPC171207
0.557 Remote Similarity NPC471107
0.5541 Remote Similarity NPC474608
0.5432 Remote Similarity NPC266265
0.5385 Remote Similarity NPC483902
0.5385 Remote Similarity NPC472577
0.5375 Remote Similarity NPC473673
0.5333 Remote Similarity NPC176413
0.5333 Remote Similarity NPC483885
0.5316 Remote Similarity NPC483883
0.5316 Remote Similarity NPC90257
0.5316 Remote Similarity NPC483845
0.5316 Remote Similarity NPC151585
0.5316 Remote Similarity NPC69357
0.5309 Remote Similarity NPC92293
0.5294 Remote Similarity NPC88593
0.5287 Remote Similarity NPC610134
0.5233 Remote Similarity NPC479040
0.5181 Remote Similarity NPC96903
0.5165 Remote Similarity NPC294512
0.5165 Remote Similarity NPC479045
0.5132 Remote Similarity NPC283375
0.5132 Remote Similarity NPC183122
0.5122 Remote Similarity NPC483844
0.5116 Remote Similarity NPC14499
0.5059 Remote Similarity NPC483849
0.5057 Remote Similarity NPC473109

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC184747 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