Natural Product: NPC536695

Natural Product IDNPC536695
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~{S})-2-[(2~{R},3~{R},4~{S},5~{S},6~{R})-5-[(2~{S},3~{R},4~{R},5~{R},6~{S})-4,5-dihydroxy-6-methyl-3-[(2~{S},3~{R},4~{S},5~{R})-3,4,5-trihydroxytetrahydropyran-2-yl]oxy-tetrahydropyran-2-yl]oxy-4-hydroxy-6-(hydroxymethyl)-2-[(1~{S},2~{S},4~{S},5'~{S},6~{S},7~{S},8~{R},9~{S},12~{S},13~{R},16~{S})-5',7,9,13-tetramethylspiro[5-oxapentacyclo[10.8.0.0^{2,9}.0^{4,8}.0^{13,18}]icos-18-ene-6,2'-piperidine]-16-yl]oxy-tetrahydropyran-3-yl]oxy-6-methyl-tetrahydropyran-3,4,5-triol
IUPAC Name (2~{S},3~{R},4~{R},5~{R},6~{S})-2-[(2~{R},3~{R},4~{S},5~{S},6~{R})-5-[(2~{S},3~{R},4~{R},5~{R},6~{S})-4,5-dihydroxy-6-methyl-3-[(2~{S},3~{R},4~{S},5~{R})-3,4,5-trihydroxytetrahydropyran-2-yl]oxy-tetrahydropyran-2-yl]oxy-4-hydroxy-6-(hydroxymethyl)-2-[(1~{S},2~{S},4~{S},5'~{S},6~{S},7~{S},8~{R},9~{S},12~{S},13~{R},16~{S})-5',7,9,13-tetramethylspiro[5-oxapentacyclo[10.8.0.0^{2,9}.0^{4,8}.0^{13,18}]icos-18-ene-6,2'-piperidine]-16-yl]oxy-tetrahydropyran-3-yl]oxy-6-methyl-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 RMXBEFPNQXHZDG-WLLMCFRPSA-N
Standard InCHI InChI=1S/C50H81NO19/c1-20-9-14-50(51-17-20)21(2)32-30(70-50)16-28-26-8-7-24-15-25(10-12-48(24,5)27(26)11-13-49(28,32)6)65-47-43(69-45-39(60)36(57)33(54)22(3)63-45)40(61)41(31(18-52)66-47)67-46-42(37(58)34(55)23(4)64-46)68-44-38(59)35(56)29(53)19-62-44/h7,20-23,25-47,51-61H,8-19H2,1-6H3/t20-,21-,22-,23-,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]1CC[C@]2(NC1)O[C@H]1C[C@H]3[C@@H]4CC=C5C[C@@H](O[C@@H]6O[C@H](CO)[C@@H](O[C@@H]7O[C@@H](C)[C@H](O)[C@@H](O)[C@H]7O[C@@H]7OC[C@@H](O)[C@H](O)[C@H]7O)[C@H](O)[C@H]6O[C@@H]6O[C@@H](C)[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:   999.54 Volume:   963.166
?
Van der Waals volume.
Dense:   1.038 LogP:   1.192
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.921
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.956
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The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   54.0
TPSA:   297.4
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Topological Polar Surface Area.
H-Bond Acceptor:   20.0
H-Bond Donor:   11.0 Rings:   10.0
Heavy Atoms:   20.0

MedChem Properties

QED Drug-Likeness Score:   0.127 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.173 Fsp3:   0.96
MCE-18:   257.061
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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:   0.76 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:   0.003
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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:   0.021 Promiscuous compounds:   0.021

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.272 MDCK Permeability:   -5.013
Pgp-inhibitor:   0.0 Pgp-substrate:   0.949
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):   0.0
20% Bioavailability (F20%):   0.008 30% Bioavailability (F30%):   0.668
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.016 MRP1:   0.046
Plasma Protein Binding (PPB):   60.646% Volume Distribution (VD):   -0.372
Fu: 30.887%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.012
BSEP inhibitor:   0.002

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:   0.986 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.079
HLM stability:   0.049
?
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):  -0.25 Half-life (T1/2):  3.279

ADMET: Toxicity

hERG Blockers:  0.024 hERG Blockers (10um):  0.114
Human Hepatotoxicity (H-HT):  0.375 Drug-induced Liver Injury (DILI):  0.877
AMES Toxicity:  0.888 Rat Oral Acute Toxicity:  0.004
Maximum Recommended Daily Dose:  0.024 Skin Sensitization:  1.0
Carcinogencity:  0.017 Eye Corrosion:  0.0
Eye Irritation:  0.001 Respiratory Toxicity:  0.005
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.998
Hematotoxicity:  0.307 Drug-induced Nephrotoxicity:  0.802
Genotoxicity:  0.001 RPMI-8226 Immunitoxicity:  0.308
A549 Cytotoxicity:  0.879 Hek293 Cytotoxicity:  0.692
BCF:   1.804
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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:   3.53
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.785
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.12
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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
NPO48375 Solanum aculeastrum Dunal Genus Solanaceae 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 NPC536695 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
0.8788 High Similarity NPC122819
0.8241 Intermediate Similarity NPC287885
0.7476 Intermediate Similarity NPC15249
0.7476 Intermediate Similarity NPC25455
0.7091 Intermediate Similarity NPC150057
0.7091 Intermediate Similarity NPC147753
0.6991 Remote Similarity NPC475333
0.6991 Remote Similarity NPC224098
0.6991 Remote Similarity NPC208383
0.687 Remote Similarity NPC249265
0.675 Remote Similarity NPC480556
0.6639 Remote Similarity NPC232054
0.6435 Remote Similarity NPC73243
0.6435 Remote Similarity NPC244086
0.6435 Remote Similarity NPC84956
0.6372 Remote Similarity NPC470433
0.6372 Remote Similarity NPC46190
0.6372 Remote Similarity NPC171073
0.6325 Remote Similarity NPC247037
0.6316 Remote Similarity NPC248746
0.6261 Remote Similarity NPC42171
0.6218 Remote Similarity NPC194207
0.6218 Remote Similarity NPC22779
0.6216 Remote Similarity NPC94272
0.6207 Remote Similarity NPC480555
0.6207 Remote Similarity NPC150372
0.6167 Remote Similarity NPC480554
0.6116 Remote Similarity NPC23808
0.6116 Remote Similarity NPC87998
0.6068 Remote Similarity NPC475182
0.6066 Remote Similarity NPC480553
0.605 Remote Similarity NPC269297
0.605 Remote Similarity NPC222202
0.5906 Remote Similarity NPC224314
0.5862 Remote Similarity NPC98696
0.5772 Remote Similarity NPC218571
0.5772 Remote Similarity NPC487615
0.576 Remote Similarity NPC308140
0.5741 Remote Similarity NPC165439
0.569 Remote Similarity NPC113044
0.569 Remote Similarity NPC283829
0.569 Remote Similarity NPC161676
0.5556 Remote Similarity NPC305423
0.5534 Remote Similarity NPC485606
0.5528 Remote Similarity NPC486386
0.5484 Remote Similarity NPC13193
0.5455 Remote Similarity NPC6806
0.544 Remote Similarity NPC254255
0.5417 Remote Similarity NPC265275
0.5385 Remote Similarity NPC470432
0.5385 Remote Similarity NPC230507
0.5372 Remote Similarity NPC477809
0.5366 Remote Similarity NPC102016
0.5366 Remote Similarity NPC95051
0.5238 Remote Similarity NPC32361
0.5203 Remote Similarity NPC124677
0.5192 Remote Similarity NPC147835
0.5192 Remote Similarity NPC253645
0.5192 Remote Similarity NPC85001
0.5192 Remote Similarity NPC95920
0.5167 Remote Similarity NPC14704
0.5164 Remote Similarity NPC602423
0.5118 Remote Similarity NPC309278
0.5081 Remote Similarity NPC471464
0.5081 Remote Similarity NPC300557

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC536695 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
0.8788 High Similarity NPD8449 Approved
0.7091 Intermediate Similarity NPD8450 Suspended

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