Natural Product: NPC568159

Natural Product IDNPC568159
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(3~{R},4~{S},5~{R})-2-[(2~{R},3~{S},4~{S},5~{R})-4-hydroxy-2-(hydroxymethyl)-6-[(4~{S},5'~{S},6~{R},7~{S},9~{S},13~{S},16~{S})-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-[(3~{R},4~{S},5~{R})-3,4,5-trihydroxytetrahydropyran-2-yl]oxy-tetrahydropyran-3-yl]oxytetrahydropyran-3,4,5-triol
IUPAC Name (3~{R},4~{S},5~{R})-2-[(2~{R},3~{S},4~{S},5~{R})-4-hydroxy-2-(hydroxymethyl)-6-[(4~{S},5'~{S},6~{R},7~{S},9~{S},13~{S},16~{S})-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-[(3~{R},4~{S},5~{R})-3,4,5-trihydroxytetrahydropyran-2-yl]oxy-tetrahydropyran-3-yl]oxytetrahydropyran-3,4,5-triol
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 DQIDRINFLSLNGN-CYAFNSHGSA-N
Standard InCHI InChI=1S/C43H70O16/c1-19-7-12-43(54-16-19)20(2)30-28(59-43)14-25-23-6-5-21-13-22(8-10-41(21,3)24(23)9-11-42(25,30)4)55-40-37(58-39-34(50)32(48)27(46)18-53-39)35(51)36(29(15-44)56-40)57-38-33(49)31(47)26(45)17-52-38/h19-40,44-51H,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+/m0/s1
SMILES C[C@H]1CC[C@@]2(OC1)O[C@H]1CC3C4CCC5C[C@@H](OC6O[C@H](CO)[C@@H](OC7OC[C@@H](O)[C@H](O)[C@H]7O)[C@H](O)[C@H]6OC6OC[C@@H](O)[C@H](O)[C@H]6O)CC[C@]5(C)C4CC[C@]3(C)C1[C@@H]2C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   842.47 Volume:   815.919
?
Van der Waals volume.
Dense:   1.033 LogP:   1.747
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.726
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.313
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   48.0
TPSA:   235.68
?
Topological Polar Surface Area.
H-Bond Acceptor:   16.0
H-Bond Donor:   8.0 Rings:   9.0
Heavy Atoms:   16.0

MedChem Properties

QED Drug-Likeness Score:   0.164 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.613 Fsp3:   1.0
MCE-18:   225.256
?
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:   0.624 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.023
?
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:   0.162 Promiscuous compounds:   0.008

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.157 MDCK Permeability:   -5.034
Pgp-inhibitor:   0.0 Pgp-substrate:   0.857
PAMPA:   0.999
?
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%):   0.003 30% Bioavailability (F30%):   0.164
50% Bioavailability (F50%):   0.987

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.124
Plasma Protein Binding (PPB):   64.465% Volume Distribution (VD):   -0.42
Fu: 28.829%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.021
BSEP inhibitor:   0.94

ADMET: Metabolism

CYP1A2-inhibitor:   0.005 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.309 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.007
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.003
HLM stability:   0.176
?
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):  0.135 Half-life (T1/2):  3.923

ADMET: Toxicity

hERG Blockers:  0.025 hERG Blockers (10um):  0.292
Human Hepatotoxicity (H-HT):  0.756 Drug-induced Liver Injury (DILI):  0.599
AMES Toxicity:  0.246 Rat Oral Acute Toxicity:  0.006
Maximum Recommended Daily Dose:  0.303 Skin Sensitization:  1.0
Carcinogencity:  0.159 Eye Corrosion:  0.0
Eye Irritation:  0.004 Respiratory Toxicity:  0.002
Drug-induced Neurotoxicity:  0.002 Ototoxicity:  0.997
Hematotoxicity:  0.006 Drug-induced Nephrotoxicity:  0.731
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.197
A549 Cytotoxicity:  0.12 Hek293 Cytotoxicity:  0.512
BCF:   1.858
?
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:   3.847
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.326
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.465
?
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
NPO43764 Asparagus stipularis Species Asparagaceae Eukaryota n.a. n.a. n.a. PMID[38398569]
NPO43764 Asparagus stipularis Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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 NPC568159 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
0.8778 High Similarity NPC471464
0.8488 Intermediate Similarity NPC19400
0.8202 Intermediate Similarity NPC6295
0.8085 Intermediate Similarity NPC128572
0.8046 Intermediate Similarity NPC250393
0.7634 Intermediate Similarity NPC160426
0.7553 Intermediate Similarity NPC475351
0.7419 Intermediate Similarity NPC485595
0.74 Intermediate Similarity NPC475333
0.74 Intermediate Similarity NPC475625
0.74 Intermediate Similarity NPC224098
0.74 Intermediate Similarity NPC208383
0.7273 Intermediate Similarity NPC97700
0.7273 Intermediate Similarity NPC30856
0.7111 Intermediate Similarity NPC297348
0.7111 Intermediate Similarity NPC249204
0.7111 Intermediate Similarity NPC48339
0.7111 Intermediate Similarity NPC141769
0.7111 Intermediate Similarity NPC477547
0.7097 Intermediate Similarity NPC211354
0.7021 Intermediate Similarity NPC264101
0.699 Remote Similarity NPC232037
0.6957 Remote Similarity NPC477451
0.6947 Remote Similarity NPC107962
0.6923 Remote Similarity NPC325828
0.6923 Remote Similarity NPC177834
0.69 Remote Similarity NPC274200
0.6869 Remote Similarity NPC475643
0.6809 Remote Similarity NPC206003
0.6809 Remote Similarity NPC473610
0.6804 Remote Similarity NPC195297
0.6792 Remote Similarity NPC132080
0.6789 Remote Similarity NPC480556
0.67 Remote Similarity NPC470433
0.67 Remote Similarity NPC46190
0.67 Remote Similarity NPC171073
0.6571 Remote Similarity NPC116756
0.6569 Remote Similarity NPC51172
0.6569 Remote Similarity NPC49032
0.6562 Remote Similarity NPC107188
0.6514 Remote Similarity NPC232054
0.6505 Remote Similarity NPC480555
0.6505 Remote Similarity NPC150372
0.6381 Remote Similarity NPC475319
0.6321 Remote Similarity NPC269297
0.6321 Remote Similarity NPC222202
0.6316 Remote Similarity NPC234352
0.6275 Remote Similarity NPC473601
0.6226 Remote Similarity NPC115165
0.6182 Remote Similarity NPC233433
0.6161 Remote Similarity NPC470866
0.6154 Remote Similarity NPC248746
0.6147 Remote Similarity NPC480554
0.6132 Remote Similarity NPC184617
0.6091 Remote Similarity NPC476112
0.6091 Remote Similarity NPC307534
0.6055 Remote Similarity NPC194207
0.6055 Remote Similarity NPC22779
0.6036 Remote Similarity NPC480553
0.6022 Remote Similarity NPC481418
0.6 Remote Similarity NPC224314
0.5965 Remote Similarity NPC94086
0.5965 Remote Similarity NPC473817
0.5962 Remote Similarity NPC202898
0.5882 Remote Similarity NPC125324
0.5849 Remote Similarity NPC92890
0.5818 Remote Similarity NPC32361
0.5816 Remote Similarity NPC294686
0.5812 Remote Similarity NPC220836
0.5794 Remote Similarity NPC42171
0.5784 Remote Similarity NPC215408
0.576 Remote Similarity NPC329807
0.5714 Remote Similarity NPC470864
0.57 Remote Similarity NPC222731
0.5699 Remote Similarity NPC88962
0.5676 Remote Similarity NPC473518
0.5625 Remote Similarity NPC232611
0.5625 Remote Similarity NPC481189
0.5581 Remote Similarity NPC329727
0.5575 Remote Similarity NPC108072
0.551 Remote Similarity NPC485594
0.5472 Remote Similarity NPC113044
0.5472 Remote Similarity NPC283829
0.5472 Remote Similarity NPC161676
0.5455 Remote Similarity NPC151134
0.5431 Remote Similarity NPC31896
0.5429 Remote Similarity NPC470432
0.5429 Remote Similarity NPC230507
0.5417 Remote Similarity NPC477808
0.5413 Remote Similarity NPC477809
0.5405 Remote Similarity NPC98018
0.5405 Remote Similarity NPC284104
0.5405 Remote Similarity NPC103616
0.5391 Remote Similarity NPC83137
0.5321 Remote Similarity NPC602423
0.5304 Remote Similarity NPC249265
0.5268 Remote Similarity NPC294129
0.5243 Remote Similarity NPC312678
0.5243 Remote Similarity NPC253268
0.5225 Remote Similarity NPC300557
0.5196 Remote Similarity NPC291203
0.5196 Remote Similarity NPC485591
0.5196 Remote Similarity NPC217205
0.5191 Remote Similarity NPC329820
0.5172 Remote Similarity NPC48463
0.5172 Remote Similarity NPC248944
0.5172 Remote Similarity NPC7479
0.5172 Remote Similarity NPC257296
0.5156 Remote Similarity NPC330026
0.5152 Remote Similarity NPC24960
0.5149 Remote Similarity NPC181845
0.5149 Remote Similarity NPC481423
0.513 Remote Similarity NPC13193
0.5122 Remote Similarity NPC210569
0.5096 Remote Similarity NPC474399
0.5094 Remote Similarity NPC485590
0.5093 Remote Similarity NPC141433
0.5093 Remote Similarity NPC70204
0.5085 Remote Similarity NPC84111
0.5085 Remote Similarity NPC287483
0.5085 Remote Similarity NPC470865
0.5082 Remote Similarity NPC473505
0.5051 Remote Similarity NPC473774
0.5051 Remote Similarity NPC481419
0.5051 Remote Similarity NPC481417

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC568159 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
0.6923 Remote Similarity NPD8171 Phase 2
0.5882 Remote Similarity NPD8170 Phase 2
0.5172 Remote Similarity NPD6928 Phase 2
0.5102 Remote Similarity NPD7991 Discontinued

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