Natural Product: NPC581388

Natural Product IDNPC581388
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(2~{S},3~{R},4~{R},5~{R},6~{R})-2-methyl-6-[[(2~{R},3~{R},4~{S},5~{R},6~{R})-3,4,5-trihydroxy-6-[[(2~{R},3~{R},4~{S},5~{R},6~{R})-3,4,5-trihydroxy-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-tetrahydropyran-2-yl]methoxy]tetrahydropyran-2-yl]methoxy]tetrahydropyran-3,4,5-triol
IUPAC Name (2~{S},3~{R},4~{R},5~{R},6~{R})-2-methyl-6-[[(2~{R},3~{R},4~{S},5~{R},6~{R})-3,4,5-trihydroxy-6-[[(2~{R},3~{R},4~{S},5~{R},6~{R})-3,4,5-trihydroxy-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-tetrahydropyran-2-yl]methoxy]tetrahydropyran-2-yl]methoxy]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]

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 SOLLLKXKOBZXOZ-JRUHDRENSA-N
Standard InCHI InChI=1S/C45H74O17/c1-19-8-13-45(57-16-19)20(2)30-27(62-45)15-26-24-7-6-22-14-23(9-11-43(22,4)25(24)10-12-44(26,30)5)59-42-39(54)36(51)33(48)29(61-42)18-56-41-38(53)35(50)32(47)28(60-41)17-55-40-37(52)34(49)31(46)21(3)58-40/h19-42,46-54H,6-18H2,1-5H3/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+/m0/s1
SMILES C[C@H]1CC[C@@]2(OC1)O[C@H]1C[C@H]3[C@@H]4CC[C@@H]5C[C@@H](O[C@@H]6O[C@H](CO[C@@H]7O[C@H](CO[C@@H]8O[C@@H](C)[C@H](O)[C@@H](O)[C@H]8O)[C@H](O)[C@H](O)[C@H]7O)[C@H](O)[C@H](O)[C@H]6O)CC[C@]5(C)[C@H]4CC[C@]3(C)[C@H]1[C@@H]2C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   886.49 Volume:   859.302
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Van der Waals volume.
Dense:   1.032 LogP:   2.676
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.361
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.777
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The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   48.0
TPSA:   255.91
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Topological Polar Surface Area.
H-Bond Acceptor:   17.0
H-Bond Donor:   9.0 Rings:   9.0
Heavy Atoms:   17.0

MedChem Properties

QED Drug-Likeness Score:   0.149 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.68 Fsp3:   1.0
MCE-18:   230.667
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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:   0.695 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.027
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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:   0.255 Promiscuous compounds:   0.009

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.112 MDCK Permeability:   -5.095
Pgp-inhibitor:   0.001 Pgp-substrate:   0.963
PAMPA:   0.999
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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):   0.001
20% Bioavailability (F20%):   0.723 30% Bioavailability (F30%):   0.981
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.287
Plasma Protein Binding (PPB):   60.691% Volume Distribution (VD):   -0.363
Fu: 28.785%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.021
BSEP inhibitor:   0.097

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.957 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.375
HLM stability:   0.007
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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):  0.457 Half-life (T1/2):  2.13

ADMET: Toxicity

hERG Blockers:  0.034 hERG Blockers (10um):  0.145
Human Hepatotoxicity (H-HT):  0.346 Drug-induced Liver Injury (DILI):  0.893
AMES Toxicity:  0.956 Rat Oral Acute Toxicity:  0.015
Maximum Recommended Daily Dose:  0.027 Skin Sensitization:  1.0
Carcinogencity:  0.076 Eye Corrosion:  0.0
Eye Irritation:  0.002 Respiratory Toxicity:  0.002
Drug-induced Neurotoxicity:  0.001 Ototoxicity:  0.991
Hematotoxicity:  0.395 Drug-induced Nephrotoxicity:  0.687
Genotoxicity:  0.002 RPMI-8226 Immunitoxicity:  0.373
A549 Cytotoxicity:  0.98 Hek293 Cytotoxicity:  0.952
BCF:   2.159
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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:   3.621
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.581
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.171
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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
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 NPC581388 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
0.8718 High Similarity NPC177834
0.7765 Intermediate Similarity NPC211354
0.7619 Intermediate Similarity NPC477451
0.7558 Intermediate Similarity NPC107188
0.7294 Intermediate Similarity NPC234352
0.7191 Intermediate Similarity NPC215408
0.7176 Intermediate Similarity NPC297348
0.7176 Intermediate Similarity NPC325828
0.7176 Intermediate Similarity NPC249204
0.7176 Intermediate Similarity NPC48339
0.7176 Intermediate Similarity NPC141769
0.7176 Intermediate Similarity NPC477547
0.7159 Intermediate Similarity NPC19400
0.7126 Intermediate Similarity NPC250393
0.6957 Remote Similarity NPC160426
0.6941 Remote Similarity NPC485594
0.6923 Remote Similarity NPC6295
0.6813 Remote Similarity NPC107962
0.6703 Remote Similarity NPC264101
0.6667 Remote Similarity NPC206003
0.6667 Remote Similarity NPC473610
0.6588 Remote Similarity NPC473774
0.6588 Remote Similarity NPC481419
0.6588 Remote Similarity NPC481417
0.6531 Remote Similarity NPC128572
0.6526 Remote Similarity NPC475351
0.6429 Remote Similarity NPC471464
0.6392 Remote Similarity NPC475643
0.6374 Remote Similarity NPC222731
0.63 Remote Similarity NPC97700
0.63 Remote Similarity NPC30856
0.625 Remote Similarity NPC83137
0.6235 Remote Similarity NPC144790
0.6235 Remote Similarity NPC149400
0.6211 Remote Similarity NPC485595
0.6207 Remote Similarity NPC481420
0.6207 Remote Similarity NPC481421
0.6139 Remote Similarity NPC184617
0.6122 Remote Similarity NPC202898
0.6117 Remote Similarity NPC475625
0.6082 Remote Similarity NPC14704
0.6058 Remote Similarity NPC232037
0.6042 Remote Similarity NPC470432
0.6042 Remote Similarity NPC230507
0.6038 Remote Similarity NPC132080
0.5978 Remote Similarity NPC294686
0.5934 Remote Similarity NPC181845
0.5918 Remote Similarity NPC113044
0.5918 Remote Similarity NPC283829
0.5918 Remote Similarity NPC161676
0.5895 Remote Similarity NPC306131
0.5895 Remote Similarity NPC200802
0.5882 Remote Similarity NPC329807
0.5876 Remote Similarity NPC125324
0.5849 Remote Similarity NPC470864
0.5816 Remote Similarity NPC195297
0.5816 Remote Similarity NPC70204
0.581 Remote Similarity NPC116756
0.5806 Remote Similarity NPC131693
0.5806 Remote Similarity NPC475436
0.5784 Remote Similarity NPC51172
0.5784 Remote Similarity NPC49032
0.5778 Remote Similarity NPC24960
0.5761 Remote Similarity NPC481424
0.5761 Remote Similarity NPC481422
0.5696 Remote Similarity NPC248944
0.5696 Remote Similarity NPC7479
0.5696 Remote Similarity NPC257296
0.5691 Remote Similarity NPC329727
0.5686 Remote Similarity NPC92890
0.5667 Remote Similarity NPC481418
0.561 Remote Similarity NPC481189
0.5588 Remote Similarity NPC470433
0.5588 Remote Similarity NPC46190
0.5588 Remote Similarity NPC171073
0.5588 Remote Similarity NPC602423
0.5586 Remote Similarity NPC470866
0.5514 Remote Similarity NPC475333
0.5514 Remote Similarity NPC224098
0.5514 Remote Similarity NPC208383
0.55 Remote Similarity NPC141433
0.549 Remote Similarity NPC473601
0.5481 Remote Similarity NPC300557
0.5481 Remote Similarity NPC6806
0.5472 Remote Similarity NPC475319
0.5444 Remote Similarity NPC277715
0.5429 Remote Similarity NPC480555
0.5429 Remote Similarity NPC150372
0.5426 Remote Similarity NPC481425
0.5426 Remote Similarity NPC481426
0.5377 Remote Similarity NPC294129
0.5333 Remote Similarity NPC88962
0.5315 Remote Similarity NPC233433
0.5309 Remote Similarity NPC227260
0.528 Remote Similarity NPC329820
0.5278 Remote Similarity NPC269297
0.5278 Remote Similarity NPC222202
0.5273 Remote Similarity NPC480554
0.5253 Remote Similarity NPC54619
0.5238 Remote Similarity NPC477809
0.5229 Remote Similarity NPC309278
0.5225 Remote Similarity NPC476112
0.5225 Remote Similarity NPC307534
0.5217 Remote Similarity NPC480556
0.5204 Remote Similarity NPC312678
0.5204 Remote Similarity NPC253268
0.5185 Remote Similarity NPC115165
0.5182 Remote Similarity NPC194207
0.5182 Remote Similarity NPC22779
0.5179 Remote Similarity NPC480553
0.5164 Remote Similarity NPC481190
0.5155 Remote Similarity NPC291203
0.5155 Remote Similarity NPC217205
0.513 Remote Similarity NPC94086
0.513 Remote Similarity NPC473817
0.5128 Remote Similarity NPC220836
0.5106 Remote Similarity NPC172838
0.5096 Remote Similarity NPC112274
0.5094 Remote Similarity NPC248746
0.5051 Remote Similarity NPC474399
0.505 Remote Similarity NPC485590
0.5049 Remote Similarity NPC475670
0.5047 Remote Similarity NPC274200

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC581388 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
0.7176 Intermediate Similarity NPD8171 Phase 2
0.6042 Remote Similarity NPD8170 Phase 2
0.5696 Remote Similarity NPD6928 Phase 2
0.5385 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