Natural Product: NPC531525

Natural Product IDNPC531525
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Anguivioside A
IUPAC Name (2~{S},3~{R},4~{R},5~{R},6~{S})-2-[(2~{R},3~{S},4~{S},5~{R},6~{R})-4-hydroxy-2-(hydroxymethyl)-6-[(1~{S},2~{S},4~{S},5'~{R},6~{S},6'~{R},7~{S},8~{R},9~{S},12~{S},13~{R},16~{S})-6'-hydroxy-5',7,9,13-tetramethyl-spiro[5-oxapentacyclo[10.8.0.0^{2,9}.0^{4,8}.0^{13,18}]icos-18-ene-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-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 LPZCNTXUCIGYQK-JAVAWAHBSA-N
Standard InCHI InChI=1S/C45H72O17/c1-18-9-14-45(62-39(18)54)19(2)29-27(61-45)16-26-24-8-7-22-15-23(10-12-43(22,5)25(24)11-13-44(26,29)6)57-42-38(60-41-35(52)33(50)31(48)21(4)56-41)36(53)37(28(17-46)58-42)59-40-34(51)32(49)30(47)20(3)55-40/h7,18-21,23-42,46-54H,8-17H2,1-6H3/t18-,19+,20+,21+,23+,24-,25+,26+,27+,28-,29+,30+,31+,32-,33-,34-,35-,36+,37-,38-,39-,40+,41+,42-,43+,44+,45+/m1/s1
SMILES C[C@@H]1CC[C@@]2(O[C@H]1O)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](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:   884.48 Volume:   856.665
?
Van der Waals volume.
Dense:   1.032 LogP:   2.101
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.939
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.485
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   48.0
TPSA:   255.91
?
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:   0.158 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.81 Fsp3:   0.956
MCE-18:   232.909
?
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:   0.7 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.007
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.299 Promiscuous compounds:   0.013

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.115 MDCK Permeability:   -5.046
Pgp-inhibitor:   0.0 Pgp-substrate:   0.987
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):   0.081
20% Bioavailability (F20%):   0.235 30% Bioavailability (F30%):   0.955
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.016
Plasma Protein Binding (PPB):   58.187% Volume Distribution (VD):   -0.435
Fu: 33.955%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.169
BSEP inhibitor:   0.089

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:   0.426 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.772
HLM stability:   0.179
?
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):  0.247 Half-life (T1/2):  3.897

ADMET: Toxicity

hERG Blockers:  0.069 hERG Blockers (10um):  0.309
Human Hepatotoxicity (H-HT):  0.223 Drug-induced Liver Injury (DILI):  0.876
AMES Toxicity:  0.682 Rat Oral Acute Toxicity:  0.009
Maximum Recommended Daily Dose:  0.01 Skin Sensitization:  1.0
Carcinogencity:  0.007 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.998
Hematotoxicity:  0.088 Drug-induced Nephrotoxicity:  0.263
Genotoxicity:  0.002 RPMI-8226 Immunitoxicity:  0.297
A549 Cytotoxicity:  0.277 Hek293 Cytotoxicity:  0.671
BCF:   1.701
?
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:   3.455
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.696
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.027
?
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
NPO8266 Solanum anguivi Species Solanaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8266 Solanum anguivi Species Solanaceae 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 NPC531525 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
0.8316 Intermediate Similarity NPC470433
0.8316 Intermediate Similarity NPC46190
0.8316 Intermediate Similarity NPC171073
0.8229 Intermediate Similarity NPC248746
0.8144 Intermediate Similarity NPC42171
0.8061 Intermediate Similarity NPC480555
0.8061 Intermediate Similarity NPC150372
0.7843 Intermediate Similarity NPC194207
0.7843 Intermediate Similarity NPC22779
0.7822 Intermediate Similarity NPC269297
0.7822 Intermediate Similarity NPC222202
0.7745 Intermediate Similarity NPC475333
0.7745 Intermediate Similarity NPC224098
0.7745 Intermediate Similarity NPC208383
0.7596 Intermediate Similarity NPC480554
0.7477 Intermediate Similarity NPC232054
0.7453 Intermediate Similarity NPC480553
0.7117 Intermediate Similarity NPC480556
0.7071 Intermediate Similarity NPC94272
0.7054 Intermediate Similarity NPC224314
0.6931 Remote Similarity NPC113044
0.6931 Remote Similarity NPC283829
0.6931 Remote Similarity NPC161676
0.69 Remote Similarity NPC470432
0.69 Remote Similarity NPC230507
0.6827 Remote Similarity NPC122819
0.6759 Remote Similarity NPC32361
0.6737 Remote Similarity NPC165439
0.6731 Remote Similarity NPC602423
0.6636 Remote Similarity NPC73243
0.6636 Remote Similarity NPC244086
0.6636 Remote Similarity NPC84956
0.6604 Remote Similarity NPC300557
0.6514 Remote Similarity NPC247037
0.6455 Remote Similarity NPC309278
0.6449 Remote Similarity NPC6806
0.6436 Remote Similarity NPC19400
0.6389 Remote Similarity NPC475182
0.6355 Remote Similarity NPC477809
0.6339 Remote Similarity NPC249265
0.6306 Remote Similarity NPC13193
0.6296 Remote Similarity NPC124677
0.6286 Remote Similarity NPC305423
0.6286 Remote Similarity NPC14704
0.6283 Remote Similarity NPC23808
0.6283 Remote Similarity NPC87998
0.6271 Remote Similarity NPC477808
0.625 Remote Similarity NPC485595
0.625 Remote Similarity NPC6295
0.6174 Remote Similarity NPC287885
0.6162 Remote Similarity NPC181845
0.6111 Remote Similarity NPC265275
0.6071 Remote Similarity NPC475550
0.5897 Remote Similarity NPC308140
0.5812 Remote Similarity NPC477811
0.5652 Remote Similarity NPC486386
0.5648 Remote Similarity NPC15249
0.5648 Remote Similarity NPC25455
0.5596 Remote Similarity NPC141433
0.5596 Remote Similarity NPC195297
0.5586 Remote Similarity NPC98696
0.5556 Remote Similarity NPC254255
0.5478 Remote Similarity NPC102016
0.5478 Remote Similarity NPC95051
0.5439 Remote Similarity NPC471464
0.5391 Remote Similarity NPC150057
0.5391 Remote Similarity NPC147753
0.537 Remote Similarity NPC306131
0.537 Remote Similarity NPC200802
0.534 Remote Similarity NPC486114
0.525 Remote Similarity NPC218571
0.525 Remote Similarity NPC487615
0.5234 Remote Similarity NPC477451
0.5175 Remote Similarity NPC40440
0.5172 Remote Similarity NPC249553
0.5133 Remote Similarity NPC160426
0.513 Remote Similarity NPC475643

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC531525 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
0.6827 Remote Similarity NPD8449 Approved
0.5391 Remote 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