Natural Product: NPC586403

Natural Product IDNPC586403
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~{S},4~{S},5~{R},6~{S})-6-[4-[7-[(2~{S},3~{S},4~{S},5~{S},6~{R})-6-carboxy-4,5-dihydroxy-3-[(2~{S},3~{R},4~{S},5~{S},6~{R})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-tetrahydropyran-2-yl]oxy-5-hydroxy-4-oxo-chromen-2-yl]phenoxy]-3,4,5-trihydroxy-tetrahydropyran-2-carboxylic acid
IUPAC Name (2~{S},3~{S},4~{S},5~{R},6~{S})-6-[4-[7-[(2~{S},3~{S},4~{S},5~{S},6~{R})-6-carboxy-4,5-dihydroxy-3-[(2~{S},3~{R},4~{S},5~{S},6~{R})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-tetrahydropyran-2-yl]oxy-5-hydroxy-4-oxo-chromen-2-yl]phenoxy]-3,4,5-trihydroxy-tetrahydropyran-2-carboxylic acid
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 QHUYAVQUOQPHFT-PVAVAHCOSA-N
Standard InCHI InChI=1S/C33H36O22/c34-8-16-18(37)19(38)24(43)32(52-16)55-28-23(42)22(41)27(30(47)48)54-33(28)50-11-5-12(35)17-13(36)7-14(51-15(17)6-11)9-1-3-10(4-2-9)49-31-25(44)20(39)21(40)26(53-31)29(45)46/h1-7,16,18-28,31-35,37-44H,8H2,(H,45,46)(H,47,48)/t16-,18-,19+,20+,21+,22+,23+,24-,25-,26+,27-,28+,31-,32+,33-/m1/s1
SMILES O=C(O)[C@H]1O[C@@H](OC2=CC=C(C3=CC(=O)C4=C(O)C=C(O[C@@H]5O[C@@H](C(=O)O)[C@@H](O)[C@H](O)[C@@H]5O[C@@H]5O[C@H](CO)[C@@H](O)[C@H](O)[C@H]5O)C=C4O3)C=C2)[C@H](O)[C@@H](O)[C@@H]1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   784.17 Volume:   695.006
?
Van der Waals volume.
Dense:   1.128 LogP:   -1.058
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.192
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.439
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The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   38.0
TPSA:   362.49
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Topological Polar Surface Area.
H-Bond Acceptor:   22.0
H-Bond Donor:   12.0 Rings:   6.0
Heavy Atoms:   22.0

MedChem Properties

QED Drug-Likeness Score:   0.092 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.352 Fsp3:   0.485
MCE-18:   155.327
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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:   0.432 Fluc inhibitor:   0.508
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.924
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.652
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.483 Promiscuous compounds:   0.445

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.631 MDCK Permeability:   -4.893
Pgp-inhibitor:   0.0 Pgp-substrate:   0.967
PAMPA:   1.0
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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):   0.963
20% Bioavailability (F20%):   0.551 30% Bioavailability (F30%):   0.964
50% Bioavailability (F50%):   0.995

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.991
Plasma Protein Binding (PPB):   71.612% Volume Distribution (VD):   -0.205
Fu: 25.583%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.003
OATP1B3 inhibitor:   0.156 BCRP inhibitor:   0.0
BSEP inhibitor:   0.0

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:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.888
HLM stability:   0.0
?
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):  0.296 Half-life (T1/2):  5.235

ADMET: Toxicity

hERG Blockers:  0.001 hERG Blockers (10um):  0.001
Human Hepatotoxicity (H-HT):  0.381 Drug-induced Liver Injury (DILI):  0.998
AMES Toxicity:  0.973 Rat Oral Acute Toxicity:  0.003
Maximum Recommended Daily Dose:  0.001 Skin Sensitization:  1.0
Carcinogencity:  0.002 Eye Corrosion:  0.0
Eye Irritation:  0.005 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.993
Hematotoxicity:  0.327 Drug-induced Nephrotoxicity:  0.984
Genotoxicity:  0.891 RPMI-8226 Immunitoxicity:  0.278
A549 Cytotoxicity:  0.335 Hek293 Cytotoxicity:  0.099
BCF:   0.15
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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:   2.771
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.309
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.439
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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
NPO18321 Medicago sativa Species Fabaceae Eukaryota n.a. n.a. n.a. DOI[10.1104/pp.84.1.73]
NPO18321 Medicago sativa Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[12232319]
NPO18321 Medicago sativa Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[22208890]
NPO18321 Medicago sativa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO18321 Medicago sativa Species Fabaceae Eukaryota n.a. n.a. Database[FooDB]
NPO18321 Medicago sativa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO18321 Medicago sativa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO18321 Medicago sativa Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO18321 Medicago sativa Species Fabaceae 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 NPC586403 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
0.7333 Intermediate Similarity NPC608742
0.7273 Intermediate Similarity NPC253685
0.6848 Remote Similarity NPC282169
0.6667 Remote Similarity NPC20505
0.6522 Remote Similarity NPC95090
0.6522 Remote Similarity NPC27408
0.6495 Remote Similarity NPC8856
0.6139 Remote Similarity NPC65003
0.6078 Remote Similarity NPC115674
0.6064 Remote Similarity NPC39360
0.6064 Remote Similarity NPC29763
0.6064 Remote Similarity NPC210003
0.6 Remote Similarity NPC189142
0.6 Remote Similarity NPC77660
0.5946 Remote Similarity NPC311850
0.5943 Remote Similarity NPC475382
0.5929 Remote Similarity NPC68592
0.5918 Remote Similarity NPC22832
0.5918 Remote Similarity NPC243930
0.5893 Remote Similarity NPC488083
0.5865 Remote Similarity NPC46202
0.5758 Remote Similarity NPC601144
0.5739 Remote Similarity NPC298666
0.5729 Remote Similarity NPC261866
0.5729 Remote Similarity NPC143851
0.57 Remote Similarity NPC607707
0.5648 Remote Similarity NPC195257
0.5612 Remote Similarity NPC181712
0.5607 Remote Similarity NPC229409
0.56 Remote Similarity NPC80188
0.5588 Remote Similarity NPC600989
0.5586 Remote Similarity NPC11468
0.5567 Remote Similarity NPC58053
0.5566 Remote Similarity NPC64051
0.5545 Remote Similarity NPC311830
0.5534 Remote Similarity NPC606546
0.5524 Remote Similarity NPC22062
0.5524 Remote Similarity NPC473634
0.5524 Remote Similarity NPC138811
0.55 Remote Similarity NPC262222
0.55 Remote Similarity NPC237435
0.547 Remote Similarity NPC198199
0.5462 Remote Similarity NPC120952
0.5455 Remote Similarity NPC186807
0.5446 Remote Similarity NPC43211
0.5408 Remote Similarity NPC289667
0.5357 Remote Similarity NPC14187
0.5345 Remote Similarity NPC488087
0.5327 Remote Similarity NPC122809
0.5306 Remote Similarity NPC331652
0.5304 Remote Similarity NPC473644
0.5273 Remote Similarity NPC479766
0.5253 Remote Similarity NPC19709
0.5248 Remote Similarity NPC27942
0.5182 Remote Similarity NPC473623
0.5182 Remote Similarity NPC35119
0.5152 Remote Similarity NPC473043
0.514 Remote Similarity NPC44931
0.5135 Remote Similarity NPC488089
0.5126 Remote Similarity NPC488086
0.5098 Remote Similarity NPC101191
0.5096 Remote Similarity NPC220169
0.5093 Remote Similarity NPC210073
0.505 Remote Similarity NPC277205
0.505 Remote Similarity NPC37919
0.5049 Remote Similarity NPC210094
0.5049 Remote Similarity NPC285197
0.5048 Remote Similarity NPC190003
0.5047 Remote Similarity NPC603300
0.5045 Remote Similarity NPC32641
0.5045 Remote Similarity NPC256188
0.5045 Remote Similarity NPC209296
0.5043 Remote Similarity NPC480441

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC586403 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
0.55 Remote Similarity NPD4338 Clinical (unspecified phase)
0.5045 Remote Similarity NPD7054 Phase 4

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