Natural Product: NPC523113

Natural Product IDNPC523113
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
[(2~{R},3~{S},4~{S},5~{R},6~{S})-3,4,5-trihydroxy-6-[(2~{R},3~{S},4~{S},5~{R},6~{R})-4-hydroxy-2-(hydroxymethyl)-6-[(1~{R},2~{S},4~{S},5'~{S},6~{R},7~{S},8~{R},9~{S},12~{S},13~{S},16~{S},18~{R})-5',7,9,13-tetramethylspiro[5-oxapentacyclo[10.8.0.0^{2,9}.0^{4,8}.0^{13,18}]icosane-6,2'-tetrahydropyran]-16-yl]oxy-5-[(2~{S},3~{R},4~{R},5~{R},6~{S})-3,4,5-trihydroxy-6-methyl-tetrahydropyran-2-yl]oxy-tetrahydropyran-3-yl]oxy-tetrahydropyran-2-yl]methyl acetate
IUPAC Name [(2~{R},3~{S},4~{S},5~{R},6~{S})-3,4,5-trihydroxy-6-[(2~{R},3~{S},4~{S},5~{R},6~{R})-4-hydroxy-2-(hydroxymethyl)-6-[(1~{R},2~{S},4~{S},5'~{S},6~{R},7~{S},8~{R},9~{S},12~{S},13~{S},16~{S},18~{R})-5',7,9,13-tetramethylspiro[5-oxapentacyclo[10.8.0.0^{2,9}.0^{4,8}.0^{13,18}]icosane-6,2'-tetrahydropyran]-16-yl]oxy-5-[(2~{S},3~{R},4~{R},5~{R},6~{S})-3,4,5-trihydroxy-6-methyl-tetrahydropyran-2-yl]oxy-tetrahydropyran-3-yl]oxy-tetrahydropyran-2-yl]methyl acetate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 QPCXNOOIVSKVLM-KCROQFHVSA-N
Standard InCHI InChI=1S/C47H76O18/c1-20-9-14-47(58-18-20)21(2)32-29(65-47)16-28-26-8-7-24-15-25(10-12-45(24,5)27(26)11-13-46(28,32)6)60-44-41(64-42-37(54)35(52)33(50)22(3)59-42)39(56)40(30(17-48)61-44)63-43-38(55)36(53)34(51)31(62-43)19-57-23(4)49/h20-22,24-44,48,50-56H,7-19H2,1-6H3/t20-,21-,22-,24+,25-,26+,27-,28-,29-,30+,31+,32-,33-,34+,35+,36-,37+,38+,39-,40+,41+,42-,43-,44+,45-,46-,47+/m0/s1
SMILES CC(=O)OC[C@H]1O[C@@H](O[C@H]2[C@H](O)[C@@H](O[C@@H]3O[C@@H](C)[C@H](O)[C@@H](O)[C@H]3O)[C@H](O[C@H]3CC[C@@]4(C)[C@H](CC[C@@H]5[C@@H]4CC[C@]4(C)[C@@H]6[C@H](C[C@@H]54)O[C@]4(CC[C@H](C)CO4)[C@H]6C)C3)O[C@@H]2CO)[C@H](O)[C@@H](O)[C@@H]1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   928.5 Volume:   900.047
?
Van der Waals volume.
Dense:   1.032 LogP:   1.471
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.35
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.653
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The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   49.0
TPSA:   261.98
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Topological Polar Surface Area.
H-Bond Acceptor:   18.0
H-Bond Donor:   8.0 Rings:   9.0
Heavy Atoms:   18.0

MedChem Properties

QED Drug-Likeness Score:   0.118 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.755 Fsp3:   0.979
MCE-18:   232.849
?
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:   0.776 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.005
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.238 Promiscuous compounds:   0.281

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.106 MDCK Permeability:   -5.185
Pgp-inhibitor:   0.0 Pgp-substrate:   0.89
PAMPA:   0.987
?
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):   0.047
20% Bioavailability (F20%):   0.722 30% Bioavailability (F30%):   0.995
50% Bioavailability (F50%):   0.99

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.014 MRP1:   0.853
Plasma Protein Binding (PPB):   78.2% Volume Distribution (VD):   -0.46
Fu: 15.799%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   0.971 BCRP inhibitor:   0.002
BSEP inhibitor:   0.073

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.022 CYP3A4-substrate:   0.708
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.328
HLM stability:   0.446
?
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):  0.238 Half-life (T1/2):  2.7

ADMET: Toxicity

hERG Blockers:  0.01 hERG Blockers (10um):  0.088
Human Hepatotoxicity (H-HT):  0.273 Drug-induced Liver Injury (DILI):  0.982
AMES Toxicity:  0.984 Rat Oral Acute Toxicity:  0.015
Maximum Recommended Daily Dose:  0.002 Skin Sensitization:  1.0
Carcinogencity:  0.13 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.001 Ototoxicity:  0.995
Hematotoxicity:  0.325 Drug-induced Nephrotoxicity:  0.991
Genotoxicity:  0.3 RPMI-8226 Immunitoxicity:  0.416
A549 Cytotoxicity:  0.974 Hek293 Cytotoxicity:  0.759
BCF:   1.388
?
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:   3.311
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.483
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.877
?
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
NPO17292 Asparagus racemosus Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO17292 Asparagus racemosus Species Asparagaceae 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 NPC523113 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
0.8876 High Similarity NPC19400
0.8587 High Similarity NPC6295
0.7812 Intermediate Similarity NPC485595
0.78 Intermediate Similarity NPC471464
0.7475 Intermediate Similarity NPC160426
0.7374 Intermediate Similarity NPC195297
0.7368 Intermediate Similarity NPC477451
0.7143 Intermediate Similarity NPC211354
0.7087 Intermediate Similarity NPC470433
0.7087 Intermediate Similarity NPC46190
0.7087 Intermediate Similarity NPC171073
0.7048 Intermediate Similarity NPC128572
0.6979 Remote Similarity NPC297348
0.6979 Remote Similarity NPC249204
0.6979 Remote Similarity NPC48339
0.6979 Remote Similarity NPC141769
0.6979 Remote Similarity NPC477547
0.6923 Remote Similarity NPC475643
0.6887 Remote Similarity NPC480555
0.6887 Remote Similarity NPC150372
0.6832 Remote Similarity NPC107962
0.6804 Remote Similarity NPC325828
0.6789 Remote Similarity NPC475333
0.6789 Remote Similarity NPC224098
0.6789 Remote Similarity NPC208383
0.67 Remote Similarity NPC206003
0.67 Remote Similarity NPC473610
0.6697 Remote Similarity NPC269297
0.6697 Remote Similarity NPC222202
0.6633 Remote Similarity NPC177834
0.66 Remote Similarity NPC250393
0.6542 Remote Similarity NPC248746
0.6518 Remote Similarity NPC480554
0.6471 Remote Similarity NPC107188
0.6429 Remote Similarity NPC194207
0.6429 Remote Similarity NPC22779
0.6415 Remote Similarity NPC475351
0.6404 Remote Similarity NPC480553
0.6339 Remote Similarity NPC32361
0.633 Remote Similarity NPC274200
0.6275 Remote Similarity NPC222731
0.6271 Remote Similarity NPC480556
0.6238 Remote Similarity NPC234352
0.6218 Remote Similarity NPC224314
0.6216 Remote Similarity NPC97700
0.6216 Remote Similarity NPC30856
0.6195 Remote Similarity NPC475625
0.6182 Remote Similarity NPC42171
0.6174 Remote Similarity NPC83137
0.6154 Remote Similarity NPC232054
0.6071 Remote Similarity NPC184617
0.5946 Remote Similarity NPC92890
0.5941 Remote Similarity NPC485594
0.5922 Remote Similarity NPC294686
0.5872 Remote Similarity NPC113044
0.5872 Remote Similarity NPC283829
0.5872 Remote Similarity NPC161676
0.5862 Remote Similarity NPC232037
0.5847 Remote Similarity NPC132080
0.5846 Remote Similarity NPC329807
0.5833 Remote Similarity NPC125324
0.5833 Remote Similarity NPC470432
0.5833 Remote Similarity NPC230507
0.5776 Remote Similarity NPC116756
0.5741 Remote Similarity NPC215408
0.5714 Remote Similarity NPC602423
0.5678 Remote Similarity NPC470864
0.5672 Remote Similarity NPC329727
0.5667 Remote Similarity NPC287885
0.5648 Remote Similarity NPC264101
0.5645 Remote Similarity NPC477808
0.5614 Remote Similarity NPC51172
0.5614 Remote Similarity NPC300557
0.5614 Remote Similarity NPC49032
0.5603 Remote Similarity NPC475319
0.5597 Remote Similarity NPC481189
0.5508 Remote Similarity NPC13193
0.5495 Remote Similarity NPC141433
0.549 Remote Similarity NPC473774
0.549 Remote Similarity NPC481419
0.549 Remote Similarity NPC481417
0.5487 Remote Similarity NPC473601
0.547 Remote Similarity NPC115165
0.5455 Remote Similarity NPC233433
0.5447 Remote Similarity NPC470866
0.5413 Remote Similarity NPC306131
0.5413 Remote Similarity NPC200802
0.5407 Remote Similarity NPC329820
0.5391 Remote Similarity NPC477809
0.531 Remote Similarity NPC14704
0.525 Remote Similarity NPC309278
0.5221 Remote Similarity NPC70204
0.5217 Remote Similarity NPC202898
0.5214 Remote Similarity NPC6806
0.5214 Remote Similarity NPC124677
0.5196 Remote Similarity NPC144790
0.5196 Remote Similarity NPC149400
0.5192 Remote Similarity NPC481420
0.5192 Remote Similarity NPC481421
0.5188 Remote Similarity NPC481190
0.5169 Remote Similarity NPC475182
0.5159 Remote Similarity NPC94086
0.5159 Remote Similarity NPC473817
0.5156 Remote Similarity NPC220836
0.5143 Remote Similarity NPC24960
0.514 Remote Similarity NPC181845
0.5135 Remote Similarity NPC54619
0.5126 Remote Similarity NPC73243
0.5126 Remote Similarity NPC244086
0.5126 Remote Similarity NPC84956
0.5122 Remote Similarity NPC476112
0.5122 Remote Similarity NPC307534
0.5091 Remote Similarity NPC474399
0.5082 Remote Similarity NPC232611
0.5046 Remote Similarity NPC291203
0.5046 Remote Similarity NPC217205
0.5041 Remote Similarity NPC247037

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC523113 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
0.6804 Remote Similarity NPD8171 Phase 2
0.5981 Remote Similarity NPD8170 Phase 2

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