Natural Product: NPC565798

Natural Product IDNPC565798
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(3~{S},4~{R})-2-[(2~{S},4~{S},5~{R})-2-[(3~{R},4~{R},6~{R})-4,5-dihydroxy-2-(hydroxymethyl)-6-[(5'~{S},7~{S},9~{S},13~{S},15~{R},18~{S})-15-hydroxy-5',7,9,13-tetramethyl-spiro[5-oxapentacyclo[10.8.0.0^{2,9}.0^{4,8}.0^{13,18}]icosane-6,2'-tetrahydropyran]-16-yl]oxy-tetrahydropyran-3-yl]oxy-5-hydroxy-6-(hydroxymethyl)-4-[(2~{S},4~{S},5~{R})-3,4,5-trihydroxytetrahydropyran-2-yl]oxy-tetrahydropyran-3-yl]oxy-6-(hydroxymethyl)tetrahydropyran-3,4,5-triol
IUPAC Name (3~{S},4~{R})-2-[(2~{S},4~{S},5~{R})-2-[(3~{R},4~{R},6~{R})-4,5-dihydroxy-2-(hydroxymethyl)-6-[(5'~{S},7~{S},9~{S},13~{S},15~{R},18~{S})-15-hydroxy-5',7,9,13-tetramethyl-spiro[5-oxapentacyclo[10.8.0.0^{2,9}.0^{4,8}.0^{13,18}]icosane-6,2'-tetrahydropyran]-16-yl]oxy-tetrahydropyran-3-yl]oxy-5-hydroxy-6-(hydroxymethyl)-4-[(2~{S},4~{S},5~{R})-3,4,5-trihydroxytetrahydropyran-2-yl]oxy-tetrahydropyran-3-yl]oxy-6-(hydroxymethyl)tetrahydropyran-3,4,5-triol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001013] Steroidal glycosides
          • [CHEMONTID:0002364] Steroidal saponins

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 AULWDENWMBJIIQ-NGTUJAPCSA-N
Standard InCHI InChI=1S/C50H82O23/c1-19-7-10-50(65-17-19)20(2)32-28(73-50)12-24-22-6-5-21-11-27(25(54)13-49(21,4)23(22)8-9-48(24,32)3)66-45-40(63)37(60)41(31(16-53)69-45)70-47-43(72-46-39(62)36(59)34(57)29(14-51)67-46)42(35(58)30(15-52)68-47)71-44-38(61)33(56)26(55)18-64-44/h19-47,51-63H,5-18H2,1-4H3/t19-,20-,21-,22?,23?,24?,25+,26+,27?,28?,29?,30?,31?,32?,33-,34?,35+,36+,37+,38?,39-,40?,41-,42-,43?,44-,45+,46?,47-,48-,49-,50?/m0/s1
SMILES C[C@H]1CCC2(OC1)OC1CC3C4CC[C@H]5CC(O[C@@H]6OC(CO)[C@H](O[C@@H]7OC(CO)[C@@H](O)[C@H](O[C@@H]8OC[C@@H](O)[C@H](O)C8O)C7OC7OC(CO)C(O)[C@@H](O)[C@@H]7O)[C@H](O)C6O)[C@H](O)C[C@]5(C)C4CC[C@]3(C)C1[C@@H]2C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1050.52 Volume:   989.966
?
Van der Waals volume.
Dense:   1.061 LogP:   -0.293
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.621
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.341
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   54.0
TPSA:   355.29
?
Topological Polar Surface Area.
H-Bond Acceptor:   23.0
H-Bond Donor:   13.0 Rings:   10.0
Heavy Atoms:   23.0

MedChem Properties

QED Drug-Likeness Score:   0.09 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.24 Fsp3:   1.0
MCE-18:   262.48
?
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:   0.341 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.012
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.003
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.388 Promiscuous compounds:   0.001

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.838 MDCK Permeability:   -5.08
Pgp-inhibitor:   0.0 Pgp-substrate:   0.999
PAMPA:   1.0
?
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):   0.008
20% Bioavailability (F20%):   0.945 30% Bioavailability (F30%):   0.998
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.002 MRP1:   0.986
Plasma Protein Binding (PPB):   45.666% Volume Distribution (VD):   -0.382
Fu: 37.579%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.002
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.003 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.047 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.01 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.009
HLM stability:   0.007
?
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):  -0.086 Half-life (T1/2):  2.814

ADMET: Toxicity

hERG Blockers:  0.02 hERG Blockers (10um):  0.037
Human Hepatotoxicity (H-HT):  0.778 Drug-induced Liver Injury (DILI):  0.648
AMES Toxicity:  0.814 Rat Oral Acute Toxicity:  0.008
Maximum Recommended Daily Dose:  0.066 Skin Sensitization:  0.999
Carcinogencity:  0.092 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.001
Drug-induced Neurotoxicity:  0.004 Ototoxicity:  1.0
Hematotoxicity:  0.032 Drug-induced Nephrotoxicity:  0.505
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.306
A549 Cytotoxicity:  0.621 Hek293 Cytotoxicity:  0.825
BCF:   1.024
?
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:   3.582
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.323
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.002
?
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
NPO16985 Tribulus alatus Species Muricidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16985 Tribulus alatus Species Muricidae 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 NPC565798 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
1.0 High Similarity NPC115165
0.914 High Similarity NPC473601
0.9082 High Similarity NPC232611
0.8788 High Similarity NPC473518
0.8529 High Similarity NPC83137
0.8485 Intermediate Similarity NPC97700
0.8485 Intermediate Similarity NPC30856
0.802 Intermediate Similarity NPC151134
0.8 Intermediate Similarity NPC470862
0.7925 Intermediate Similarity NPC132080
0.7879 Intermediate Similarity NPC475351
0.785 Intermediate Similarity NPC31896
0.7714 Intermediate Similarity NPC116756
0.7642 Intermediate Similarity NPC232037
0.7524 Intermediate Similarity NPC51520
0.7524 Intermediate Similarity NPC303069
0.7458 Intermediate Similarity NPC330026
0.7368 Intermediate Similarity NPC210569
0.7273 Intermediate Similarity NPC233433
0.7264 Intermediate Similarity NPC184617
0.7232 Intermediate Similarity NPC470866
0.7232 Intermediate Similarity NPC470867
0.7172 Intermediate Similarity NPC206003
0.7172 Intermediate Similarity NPC473610
0.7071 Intermediate Similarity NPC250393
0.7027 Intermediate Similarity NPC476112
0.7027 Intermediate Similarity NPC307534
0.699 Remote Similarity NPC195297
0.6942 Remote Similarity NPC481190
0.6916 Remote Similarity NPC51172
0.6916 Remote Similarity NPC49032
0.6869 Remote Similarity NPC294686
0.6838 Remote Similarity NPC220836
0.6786 Remote Similarity NPC470864
0.6768 Remote Similarity NPC325828
0.6757 Remote Similarity NPC475625
0.675 Remote Similarity NPC263359
0.6746 Remote Similarity NPC329820
0.6727 Remote Similarity NPC475319
0.6607 Remote Similarity NPC470861
0.6581 Remote Similarity NPC94086
0.6581 Remote Similarity NPC473817
0.6569 Remote Similarity NPC222731
0.6505 Remote Similarity NPC121453
0.6476 Remote Similarity NPC107962
0.6475 Remote Similarity NPC244431
0.6364 Remote Similarity NPC79900
0.6348 Remote Similarity NPC92710
0.6339 Remote Similarity NPC98018
0.6339 Remote Similarity NPC284104
0.6339 Remote Similarity NPC103616
0.6262 Remote Similarity NPC125324
0.625 Remote Similarity NPC128572
0.6239 Remote Similarity NPC477811
0.6183 Remote Similarity NPC481189
0.6132 Remote Similarity NPC107188
0.6077 Remote Similarity NPC329807
0.6018 Remote Similarity NPC300557
0.6015 Remote Similarity NPC329727
0.6 Remote Similarity NPC167183
0.5981 Remote Similarity NPC54619
0.5966 Remote Similarity NPC84111
0.5966 Remote Similarity NPC287483
0.5966 Remote Similarity NPC470865
0.5963 Remote Similarity NPC6295
0.5952 Remote Similarity NPC305771
0.5952 Remote Similarity NPC94072
0.5952 Remote Similarity NPC169816
0.595 Remote Similarity NPC262050
0.5935 Remote Similarity NPC473505
0.5935 Remote Similarity NPC477807
0.5932 Remote Similarity NPC108072
0.5877 Remote Similarity NPC471464
0.5856 Remote Similarity NPC160426
0.5841 Remote Similarity NPC602423
0.581 Remote Similarity NPC297348
0.581 Remote Similarity NPC249204
0.581 Remote Similarity NPC48339
0.581 Remote Similarity NPC141769
0.581 Remote Similarity NPC477547
0.5755 Remote Similarity NPC234352
0.5714 Remote Similarity NPC15918
0.5688 Remote Similarity NPC211354
0.5688 Remote Similarity NPC19400
0.5669 Remote Similarity NPC32707
0.566 Remote Similarity NPC177834
0.563 Remote Similarity NPC309278
0.56 Remote Similarity NPC248202
0.5574 Remote Similarity NPC92297
0.5574 Remote Similarity NPC256983
0.5556 Remote Similarity NPC477451
0.5546 Remote Similarity NPC470863
0.5517 Remote Similarity NPC92890
0.5517 Remote Similarity NPC477809
0.5512 Remote Similarity NPC477808
0.55 Remote Similarity NPC475333
0.55 Remote Similarity NPC224098
0.55 Remote Similarity NPC208383
0.5495 Remote Similarity NPC264101
0.5429 Remote Similarity NPC24960
0.5426 Remote Similarity NPC208832
0.5398 Remote Similarity NPC470432
0.5398 Remote Similarity NPC230507
0.5378 Remote Similarity NPC294129
0.5354 Remote Similarity NPC480556
0.5339 Remote Similarity NPC6806
0.5333 Remote Similarity NPC481418
0.5328 Remote Similarity NPC197003
0.5299 Remote Similarity NPC475643
0.5271 Remote Similarity NPC273002
0.5263 Remote Similarity NPC485595
0.5246 Remote Similarity NPC32361
0.5238 Remote Similarity NPC232054
0.5185 Remote Similarity NPC485594
0.5167 Remote Similarity NPC480555
0.5167 Remote Similarity NPC150372
0.5143 Remote Similarity NPC277715
0.5085 Remote Similarity NPC202898
0.5048 Remote Similarity NPC88962
0.5039 Remote Similarity NPC190939

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC565798 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
0.6768 Remote Similarity NPD8171 Phase 2
0.5963 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