Natural Product: NPC255799

Natural Product IDNPC255799
Common Name
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The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Pedunculosumoside A
IUPAC Name 7-[(2S,3R,4S,5S,6R)-4,5-dihydroxy-6-(hydroxymethyl)-3-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxyoxan-2-yl]oxy-5-hydroxy-3-(hydroxymethyl)-2-[3-hydroxy-5-(3-methylbut-2-enyl)-4-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxyphenyl]chromen-4-one
Synonyms Pedunculosumoside A
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1773496
PubChem CID 52951627
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001111] Flavonoid glycosides
          • [CHEMONTID:0001583] Flavonoid O-glycosides
            • [CHEMONTID:0003533] Flavonoid-7-O-glycosides

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 XWEFVEFGSLLUFG-LKAUHASFSA-N
Standard InCHI InChI=1S/C39H50O22/c1-13(2)3-4-14-5-15(6-19(45)35(14)60-37-32(53)29(50)26(47)21(10-41)57-37)34-17(9-40)25(46)24-18(44)7-16(8-20(24)56-34)55-39-36(31(52)28(49)23(12-43)59-39)61-38-33(54)30(51)27(48)22(11-42)58-38/h3,5-8,21-23,26-33,36-45,47-54H,4,9-12H2,1-2H3/t21-,22-,23-,26-,27-,28-,29+,30+,31+,32-,33-,36-,37+,38+,39-/m1/s1
SMILES CC(=CCc1cc(cc(c1O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O)O)c1c(CO)c(=O)c2c(cc(cc2o1)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   870.28 Volume:   801.418
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Van der Waals volume.
Dense:   1.086 LogP:   -0.205
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.115
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.57
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The logarithm of aqueous solubility value.
Rotatable Bonds:   13.0 Rigid Bonds:   37.0
TPSA:   368.81
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Topological Polar Surface Area.
H-Bond Acceptor:   22.0
H-Bond Donor:   14.0 Rings:   6.0
Heavy Atoms:   22.0

MedChem Properties

QED Drug-Likeness Score:   0.073 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.777 Fsp3:   0.564
MCE-18:   157.131
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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:   1 PAINS Alert:   0
Colloidal aggregators:   0.685 Fluc inhibitor:   0.281
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.82
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.656
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.122 Promiscuous compounds:   0.254

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.875 MDCK Permeability:   -4.913
Pgp-inhibitor:   0.0 Pgp-substrate:   0.493
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):   1.0
20% Bioavailability (F20%):   0.898 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.011
Plasma Protein Binding (PPB):   68.735% Volume Distribution (VD):   -0.258
Fu: 29.745%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.541
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:   0.999
HLM stability:   0.078
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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):  0.851 Half-life (T1/2):  5.641

ADMET: Toxicity

hERG Blockers:  0.0 hERG Blockers (10um):  0.002
Human Hepatotoxicity (H-HT):  0.873 Drug-induced Liver Injury (DILI):  0.996
AMES Toxicity:  0.991 Rat Oral Acute Toxicity:  0.001
Maximum Recommended Daily Dose:  0.0 Skin Sensitization:  1.0
Carcinogencity:  0.046 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.381 Drug-induced Nephrotoxicity:  0.971
Genotoxicity:  0.99 RPMI-8226 Immunitoxicity:  0.137
A549 Cytotoxicity:  0.563 Hek293 Cytotoxicity:  0.271
BCF:   0.383
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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:   3.205
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.181
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.989
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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
NPO31176 Ophioglossum pedunculosum Species Ophioglossaceae Eukaryota n.a. whole plant n.a. PMID[21401115]

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
NPT963 Organism Hepatitis B virus Hepatitis B virus IC50 = 238000.0 nM PMID[21401115]

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 NPC255799 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
0.7879 Intermediate Similarity NPC25724
0.5833 Remote Similarity NPC35119
0.5688 Remote Similarity NPC32641
0.5688 Remote Similarity NPC256188
0.5619 Remote Similarity NPC8856
0.5463 Remote Similarity NPC65003
0.5413 Remote Similarity NPC115674
0.5385 Remote Similarity NPC25523
0.5364 Remote Similarity NPC64425
0.5288 Remote Similarity NPC285197
0.5254 Remote Similarity NPC480441
0.5225 Remote Similarity NPC240306
0.5196 Remote Similarity NPC261866
0.5175 Remote Similarity NPC195257
0.5126 Remote Similarity NPC470715
0.5126 Remote Similarity NPC164704
0.5094 Remote Similarity NPC22832
0.5094 Remote Similarity NPC486578
0.5049 Remote Similarity NPC289667
0.5046 Remote Similarity NPC251417
0.5043 Remote Similarity NPC14187
0.5041 Remote Similarity NPC198199

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC255799 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
NPD

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