Natural Product: NPC26676

Natural Product IDNPC26676
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
LISHAQDJMDPPOF-HFEPJMNKSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 5321999
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 LISHAQDJMDPPOF-HFEPJMNKSA-N
Standard InCHI InChI=1S/C34H39NO12/c1-19(36)42-18-33-24(43-20(2)37)14-15-32(6,41)34(33)27(44-21(3)38)25(31(4,5)47-34)26(45-29(39)22-11-8-7-9-12-22)28(33)46-30(40)23-13-10-16-35-17-23/h7-13,16-17,24-28,41H,14-15,18H2,1-6H3/t24?,25?,26?,27?,28-,32+,33+,34?/m1/s1
SMILES CC(=O)OC[C@]12C(CC[C@@](C)(C32C(C(C([C@H]1OC(=O)c1cccnc1)OC(=O)c1ccccc1)C(C)(C)O3)OC(=O)C)O)OC(=O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   653.25 Volume:   641.316
?
Van der Waals volume.
Dense:   1.019 LogP:   2.837
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.738
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.687
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   13.0 Rigid Bonds:   31.0
TPSA:   173.85
?
Topological Polar Surface Area.
H-Bond Acceptor:   13.0
H-Bond Donor:   1.0 Rings:   5.0
Heavy Atoms:   13.0

MedChem Properties

QED Drug-Likeness Score:   0.326 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.904 Fsp3:   0.529
MCE-18:   172.5
?
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:   0.025 Fluc inhibitor:   0.001
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.007
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.282
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.014 Promiscuous compounds:   0.004

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.369 MDCK Permeability:   -4.746
Pgp-inhibitor:   0.989 Pgp-substrate:   0.086
PAMPA:   0.956
?
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%):   0.044 30% Bioavailability (F30%):   0.232
50% Bioavailability (F50%):   0.817

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   1.0
Plasma Protein Binding (PPB):   56.605% Volume Distribution (VD):   -0.263
Fu: 45.296%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.98 BCRP inhibitor:   0.005
BSEP inhibitor:   0.973

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.36
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.123
CYP2C9-inhibitor:   0.014 CYP2C9-substrate:   0.116
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.999
CYP3A4-inhibitor:   0.017 CYP3A4-substrate:   0.0
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):  1.107 Half-life (T1/2):  1.204

ADMET: Toxicity

hERG Blockers:  0.072 hERG Blockers (10um):  0.425
Human Hepatotoxicity (H-HT):  0.158 Drug-induced Liver Injury (DILI):  0.597
AMES Toxicity:  0.296 Rat Oral Acute Toxicity:  0.434
Maximum Recommended Daily Dose:  0.482 Skin Sensitization:  0.551
Carcinogencity:  0.657 Eye Corrosion:  0.0
Eye Irritation:  0.013 Respiratory Toxicity:  0.013
Drug-induced Neurotoxicity:  0.421 Ototoxicity:  0.496
Hematotoxicity:  0.02 Drug-induced Nephrotoxicity:  0.366
Genotoxicity:  0.673 RPMI-8226 Immunitoxicity:  0.062
A549 Cytotoxicity:  0.024 Hek293 Cytotoxicity:  0.184
BCF:   0.878
?
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:   3.667
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.552
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.043
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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
NPO20608 Gleditsia sinensis Species Fabaceae Eukaryota anomalous fruits n.a. n.a. PMID[25442304]
NPO16101 Gleditsia triacanthos Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20608 Gleditsia sinensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20608 Gleditsia sinensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO16101 Gleditsia triacanthos Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO20608 Gleditsia sinensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO16101 Gleditsia triacanthos Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO20608 Gleditsia sinensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO20608 Gleditsia sinensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO16101 Gleditsia triacanthos Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20608 Gleditsia sinensis Species Fabaceae 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

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 NPC26676 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
0.859 High Similarity NPC180668
0.8125 Intermediate Similarity NPC10904
0.7821 Intermediate Similarity NPC481064
0.7683 Intermediate Similarity NPC148896
0.7614 Intermediate Similarity NPC6981
0.7436 Intermediate Similarity NPC57628
0.7375 Intermediate Similarity NPC481062
0.7375 Intermediate Similarity NPC481058
0.7375 Intermediate Similarity NPC481060
0.7349 Intermediate Similarity NPC301368
0.7349 Intermediate Similarity NPC84815
0.7024 Intermediate Similarity NPC610927
0.6951 Remote Similarity NPC294803
0.6742 Remote Similarity NPC483885
0.6667 Remote Similarity NPC473115
0.6585 Remote Similarity NPC11685
0.6522 Remote Similarity NPC471013
0.6374 Remote Similarity NPC479045
0.6341 Remote Similarity NPC171207
0.619 Remote Similarity NPC472569
0.619 Remote Similarity NPC16912
0.6118 Remote Similarity NPC481063
0.6067 Remote Similarity NPC611111
0.6022 Remote Similarity NPC176413
0.6022 Remote Similarity NPC294512
0.593 Remote Similarity NPC127720
0.5904 Remote Similarity NPC163719
0.5904 Remote Similarity NPC483845
0.5904 Remote Similarity NPC95810
0.5876 Remote Similarity NPC294579
0.5876 Remote Similarity NPC144779
0.5843 Remote Similarity NPC4421
0.5824 Remote Similarity NPC6576
0.5814 Remote Similarity NPC472570
0.5795 Remote Similarity NPC481489
0.5778 Remote Similarity NPC488900
0.5761 Remote Similarity NPC127026
0.5761 Remote Similarity NPC483890
0.573 Remote Similarity NPC481488
0.573 Remote Similarity NPC481486
0.567 Remote Similarity NPC488902
0.567 Remote Similarity NPC488903
0.5667 Remote Similarity NPC212768
0.5604 Remote Similarity NPC488899
0.5595 Remote Similarity NPC281717
0.5591 Remote Similarity NPC75600
0.5591 Remote Similarity NPC483884
0.5568 Remote Similarity NPC70716
0.5568 Remote Similarity NPC97667
0.5567 Remote Similarity NPC96801
0.5567 Remote Similarity NPC150698
0.5556 Remote Similarity NPC271460
0.5556 Remote Similarity NPC483887
0.5556 Remote Similarity NPC158020
0.5543 Remote Similarity NPC125106
0.5543 Remote Similarity NPC472573
0.5529 Remote Similarity NPC90257
0.5529 Remote Similarity NPC69357
0.5495 Remote Similarity NPC479049
0.5474 Remote Similarity NPC253738
0.5464 Remote Similarity NPC483868
0.5444 Remote Similarity NPC483849
0.5444 Remote Similarity NPC479042
0.5402 Remote Similarity NPC471104
0.5393 Remote Similarity NPC95265
0.5376 Remote Similarity NPC479048
0.5361 Remote Similarity NPC479046
0.5341 Remote Similarity NPC483844
0.5333 Remote Similarity NPC282239
0.5333 Remote Similarity NPC471102
0.5326 Remote Similarity NPC608007
0.53 Remote Similarity NPC471980
0.5281 Remote Similarity NPC252314
0.5281 Remote Similarity NPC481059
0.5233 Remote Similarity NPC51314
0.5233 Remote Similarity NPC483886
0.5213 Remote Similarity NPC483881
0.5172 Remote Similarity NPC147880
0.5165 Remote Similarity NPC147340
0.5165 Remote Similarity NPC483848
0.5161 Remote Similarity NPC6815
0.5158 Remote Similarity NPC473089
0.5158 Remote Similarity NPC479041
0.5146 Remote Similarity NPC483880
0.5146 Remote Similarity NPC156941
0.5114 Remote Similarity NPC137718
0.5114 Remote Similarity NPC148062
0.5106 Remote Similarity NPC483889
0.5056 Remote Similarity NPC473088
0.5055 Remote Similarity NPC96903

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC26676 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