Natural Product: NPC552411

Natural Product IDNPC552411
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~{R},5~{R},6~{S})-6-[4-[7-[(2~{S},3~{S},4~{S},5~{S},6~{S})-6-carboxy-3,4,5-trihydroxy-tetrahydropyran-2-yl]oxy-5-hydroxy-4-oxo-chromen-2-yl]-2-[(2~{S},3~{R},4~{S},5~{S},6~{R})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-phenoxy]-3,4,5-trihydroxy-tetrahydropyran-2-carboxylic acid
IUPAC Name (2~{S},3~{S},4~{R},5~{R},6~{S})-6-[4-[7-[(2~{S},3~{S},4~{S},5~{S},6~{S})-6-carboxy-3,4,5-trihydroxy-tetrahydropyran-2-yl]oxy-5-hydroxy-4-oxo-chromen-2-yl]-2-[(2~{S},3~{R},4~{S},5~{S},6~{R})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-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 QYCABSAOUAGOCG-CRKBAIEZSA-N
Standard InCHI InChI=1S/C33H36O23/c34-7-16-18(37)19(38)24(43)32(54-16)53-14-3-8(1-2-12(14)52-33-26(45)21(40)23(42)28(56-33)30(48)49)13-6-11(36)17-10(35)4-9(5-15(17)51-13)50-31-25(44)20(39)22(41)27(55-31)29(46)47/h1-6,16,18-28,31-35,37-45H,7H2,(H,46,47)(H,48,49)/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(O)=C3C(=O)C=C(C4=CC=C(O[C@@H]5O[C@H](C(=O)O)[C@@H](O)[C@@H](O)[C@H]5O)C(O[C@@H]5O[C@H](CO)[C@@H](O)[C@H](O)[C@H]5O)=C4)OC3=C2)[C@@H](O)[C@@H](O)[C@@H]1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   800.16 Volume:   703.796
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Van der Waals volume.
Dense:   1.137 LogP:   -1.447
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.02
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.31
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The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   38.0
TPSA:   382.72
?
Topological Polar Surface Area.
H-Bond Acceptor:   23.0
H-Bond Donor:   13.0 Rings:   6.0
Heavy Atoms:   23.0

MedChem Properties

QED Drug-Likeness Score:   0.091 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.427 Fsp3:   0.485
MCE-18:   158.939
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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:   0.465 Fluc inhibitor:   0.385
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.929
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.65
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.404 Promiscuous compounds:   0.538

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.562 MDCK Permeability:   -4.881
Pgp-inhibitor:   0.0 Pgp-substrate:   0.958
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):   0.93
20% Bioavailability (F20%):   0.008 30% Bioavailability (F30%):   0.634
50% Bioavailability (F50%):   0.922

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.925
Plasma Protein Binding (PPB):   63.59% Volume Distribution (VD):   -0.238
Fu: 30.25%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.271
OATP1B3 inhibitor:   0.985 BCRP inhibitor:   0.001
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:   0.08
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):  0.008 Half-life (T1/2):  7.963

ADMET: Toxicity

hERG Blockers:  0.001 hERG Blockers (10um):  0.002
Human Hepatotoxicity (H-HT):  0.462 Drug-induced Liver Injury (DILI):  0.988
AMES Toxicity:  0.777 Rat Oral Acute Toxicity:  0.001
Maximum Recommended Daily Dose:  0.001 Skin Sensitization:  0.998
Carcinogencity:  0.001 Eye Corrosion:  0.0
Eye Irritation:  0.001 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.999
Hematotoxicity:  0.06 Drug-induced Nephrotoxicity:  0.854
Genotoxicity:  0.422 RPMI-8226 Immunitoxicity:  0.058
A549 Cytotoxicity:  0.003 Hek293 Cytotoxicity:  0.012
BCF:   0.162
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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:   2.742
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.375
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.453
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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
NPO14201 Riccia fluitans Species Ricciaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO14201 Riccia fluitans Species Ricciaceae 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 NPC552411 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
0.7586 Intermediate Similarity NPC607707
0.7471 Intermediate Similarity NPC243930
0.7273 Intermediate Similarity NPC608742
0.6966 Remote Similarity NPC282169
0.6966 Remote Similarity NPC20505
0.6818 Remote Similarity NPC95090
0.6818 Remote Similarity NPC27408
0.6703 Remote Similarity NPC601144
0.6629 Remote Similarity NPC189142
0.6629 Remote Similarity NPC77660
0.6535 Remote Similarity NPC253685
0.6522 Remote Similarity NPC22832
0.6517 Remote Similarity NPC261866
0.6517 Remote Similarity NPC39360
0.6517 Remote Similarity NPC29763
0.6517 Remote Similarity NPC210003
0.6452 Remote Similarity NPC311830
0.6413 Remote Similarity NPC609451
0.6277 Remote Similarity NPC88023
0.6277 Remote Similarity NPC309025
0.5941 Remote Similarity NPC46202
0.5851 Remote Similarity NPC186807
0.5825 Remote Similarity NPC229409
0.5806 Remote Similarity NPC58053
0.5784 Remote Similarity NPC64051
0.5699 Remote Similarity NPC473043
0.5684 Remote Similarity NPC181712
0.5657 Remote Similarity NPC600989
0.5638 Remote Similarity NPC289667
0.5638 Remote Similarity NPC19709
0.5638 Remote Similarity NPC143851
0.5625 Remote Similarity NPC182045
0.56 Remote Similarity NPC8856
0.5579 Remote Similarity NPC277205
0.5579 Remote Similarity NPC37919
0.5567 Remote Similarity NPC237435
0.5567 Remote Similarity NPC285197
0.5532 Remote Similarity NPC331652
0.5521 Remote Similarity NPC45638
0.551 Remote Similarity NPC43211
0.5464 Remote Similarity NPC27942
0.5464 Remote Similarity NPC201292
0.5455 Remote Similarity NPC602805
0.5446 Remote Similarity NPC606546
0.5417 Remote Similarity NPC93337
0.5417 Remote Similarity NPC136042
0.5417 Remote Similarity NPC323593
0.5417 Remote Similarity NPC203500
0.54 Remote Similarity NPC190003
0.5361 Remote Similarity NPC84362
0.5361 Remote Similarity NPC105025
0.5354 Remote Similarity NPC486578
0.5354 Remote Similarity NPC601710
0.5354 Remote Similarity NPC605067
0.5278 Remote Similarity NPC475382
0.5258 Remote Similarity NPC297987
0.5258 Remote Similarity NPC168822
0.5253 Remote Similarity NPC191306
0.5253 Remote Similarity NPC307938
0.5248 Remote Similarity NPC601586
0.5238 Remote Similarity NPC115674
0.5204 Remote Similarity NPC58716
0.52 Remote Similarity NPC115760
0.52 Remote Similarity NPC284960
0.52 Remote Similarity NPC80188
0.52 Remote Similarity NPC610187
0.5155 Remote Similarity NPC110349
0.5155 Remote Similarity NPC45618
0.5152 Remote Similarity NPC101191
0.5149 Remote Similarity NPC220169
0.5149 Remote Similarity NPC605784
0.5146 Remote Similarity NPC251417
0.5143 Remote Similarity NPC22062
0.5143 Remote Similarity NPC65003
0.5143 Remote Similarity NPC473634
0.5143 Remote Similarity NPC138811
0.5138 Remote Similarity NPC195257
0.5102 Remote Similarity NPC146792
0.51 Remote Similarity NPC135277
0.51 Remote Similarity NPC210094
0.5054 Remote Similarity NPC191154
0.5051 Remote Similarity NPC610763
0.5047 Remote Similarity NPC64425
0.5043 Remote Similarity NPC277532

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC552411 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
0.5567 Remote Similarity NPD4338 Clinical (unspecified phase)

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