Natural Product: NPC22204

Natural Product IDNPC22204
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
JJDVTBGHKGLZLP-HMHWFSEDSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 100982655
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 JJDVTBGHKGLZLP-HMHWFSEDSA-N
Standard InCHI InChI=1S/C26H28O14/c1-9(2)5-16(29)37-8-15-19(31)22(34)24(36)26(40-15)39-14-7-13-17(20(32)18(14)30)21(33)23(35)25(38-13)10-3-4-11(27)12(28)6-10/h3-4,6-7,9,15,19,22,24,26-28,30-32,34-36H,5,8H2,1-2H3/t15-,19-,22+,24-,26-/m1/s1
SMILES CC(C)CC(=O)OC[C@@H]1[C@H]([C@@H]([C@H]([C@H](Oc2cc3c(c(c2O)O)c(=O)c(c(c2ccc(c(c2)O)O)o3)O)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   564.15 Volume:   523.361
?
Van der Waals volume.
Dense:   1.078 LogP:   1.163
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.567
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.985
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   25.0
TPSA:   236.81
?
Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   8.0 Rings:   4.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.146 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.299 Fsp3:   0.385
MCE-18:   98.333
?
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:   1
Colloidal aggregators:   0.843 Fluc inhibitor:   0.305
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.903
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.839
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.073 Promiscuous compounds:   0.724

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.439 MDCK Permeability:   -5.067
Pgp-inhibitor:   0.0 Pgp-substrate:   0.013
PAMPA:   0.998
?
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):   0.925
20% Bioavailability (F20%):   0.93 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.183
Plasma Protein Binding (PPB):   82.859% Volume Distribution (VD):   -0.179
Fu: 14.257%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.457
BSEP inhibitor:   0.197

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.002
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.005
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.009
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.961
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.935
?
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):  3.351 Half-life (T1/2):  3.316

ADMET: Toxicity

hERG Blockers:  0.025 hERG Blockers (10um):  0.387
Human Hepatotoxicity (H-HT):  0.432 Drug-induced Liver Injury (DILI):  0.948
AMES Toxicity:  0.673 Rat Oral Acute Toxicity:  0.104
Maximum Recommended Daily Dose:  0.112 Skin Sensitization:  0.991
Carcinogencity:  0.149 Eye Corrosion:  0.0
Eye Irritation:  0.767 Respiratory Toxicity:  0.023
Drug-induced Neurotoxicity:  0.002 Ototoxicity:  0.846
Hematotoxicity:  0.073 Drug-induced Nephrotoxicity:  0.33
Genotoxicity:  0.671 RPMI-8226 Immunitoxicity:  0.076
A549 Cytotoxicity:  0.739 Hek293 Cytotoxicity:  0.098
BCF:   0.687
?
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:   3.432
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.012
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.46
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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
NPO3676 Fusarium sambucinum Species Nectriaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8 Buphthalmum salicifolium Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4578 Cystoseira fimbriata Species Sargassaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8 Buphthalmum salicifolium Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4578 Cystoseira fimbriata Species Sargassaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3676 Fusarium sambucinum Species Nectriaceae 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 NPC22204 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
0.7857 Intermediate Similarity NPC477848
0.7841 Intermediate Similarity NPC211532
0.734 Intermediate Similarity NPC603856
0.7143 Intermediate Similarity NPC245014
0.6739 Remote Similarity NPC233994
0.6735 Remote Similarity NPC599948
0.6702 Remote Similarity NPC488364
0.6364 Remote Similarity NPC84265
0.6105 Remote Similarity NPC67105
0.5859 Remote Similarity NPC470443
0.5778 Remote Similarity NPC238376
0.5729 Remote Similarity NPC254540
0.5652 Remote Similarity NPC58716
0.5625 Remote Similarity NPC116864
0.5625 Remote Similarity NPC244776
0.5543 Remote Similarity NPC277205
0.5543 Remote Similarity NPC37919
0.5534 Remote Similarity NPC80068
0.5455 Remote Similarity NPC227508
0.5426 Remote Similarity NPC117260
0.53 Remote Similarity NPC275454
0.5229 Remote Similarity NPC480796
0.5213 Remote Similarity NPC609879
0.5192 Remote Similarity NPC229409
0.5152 Remote Similarity NPC172807
0.5106 Remote Similarity NPC108831
0.5106 Remote Similarity NPC182634
0.5098 Remote Similarity NPC210073
0.5053 Remote Similarity NPC282987
0.5053 Remote Similarity NPC146792
0.5052 Remote Similarity NPC285197
0.505 Remote Similarity NPC187379
0.5046 Remote Similarity NPC121703

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC22204 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