Natural Product: NPC279534

Natural Product IDNPC279534
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
XHGWZGKDSOFQOV-WITIDZFYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
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 XHGWZGKDSOFQOV-WITIDZFYSA-N
Standard InCHI InChI=1S/C39H50O24/c1-11-22(43)27(48)30(51)38(58-11)59-14-7-16(41)21-19(8-14)60-33(13-4-5-18(54-3)15(40)6-13)35(26(21)47)63-39-31(52)28(49)25(46)20(61-39)10-56-37-32(53)34(23(44)12(2)57-37)62-36-29(50)24(45)17(42)9-55-36/h4-8,11-12,17,20,22-25,27-32,34,36-46,48-53H,9-10H2,1-3H3/t11-,12-,17+,20+,22-,23-,24-,25-,27+,28-,29+,30+,31+,32+,34+,36-,37+,38-,39-/m0/s1
SMILES C[C@H]1[C@@H]([C@H]([C@H]([C@@H](O1)Oc1cc(c2c(c1)oc(c1ccc(c(c1)O)OC)c(c2=O)O[C@H]1[C@@H]([C@H]([C@H]([C@@H](CO[C@H]2[C@@H]([C@@H]([C@H]([C@H](C)O2)O)O[C@H]2[C@@H]([C@H]([C@@H](CO2)O)O)O)O)O1)O)O)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   902.27 Volume:   813.078
?
Van der Waals volume.
Dense:   1.11 LogP:   -0.51
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.512
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.6
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   42.0
TPSA:   376.27
?
Topological Polar Surface Area.
H-Bond Acceptor:   24.0
H-Bond Donor:   13.0 Rings:   7.0
Heavy Atoms:   24.0

MedChem Properties

QED Drug-Likeness Score:   0.086 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.9 Fsp3:   0.615
MCE-18:   181.746
?
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:   0.645 Fluc inhibitor:   0.326
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.66
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.462
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.163 Promiscuous compounds:   0.509

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.647 MDCK Permeability:   -5.047
Pgp-inhibitor:   0.0 Pgp-substrate:   0.999
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):   0.94
20% Bioavailability (F20%):   0.151 30% Bioavailability (F30%):   0.983
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.032
Plasma Protein Binding (PPB):   70.629% Volume Distribution (VD):   -0.254
Fu: 25.652%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.998
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.015
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:   0.964
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.515
HLM stability:   0.868
?
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):  0.357 Half-life (T1/2):  5.643

ADMET: Toxicity

hERG Blockers:  0.004 hERG Blockers (10um):  0.053
Human Hepatotoxicity (H-HT):  0.518 Drug-induced Liver Injury (DILI):  0.99
AMES Toxicity:  0.982 Rat Oral Acute Toxicity:  0.001
Maximum Recommended Daily Dose:  0.003 Skin Sensitization:  1.0
Carcinogencity:  0.004 Eye Corrosion:  0.0
Eye Irritation:  0.004 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.997
Hematotoxicity:  0.19 Drug-induced Nephrotoxicity:  0.93
Genotoxicity:  0.25 RPMI-8226 Immunitoxicity:  0.509
A549 Cytotoxicity:  0.682 Hek293 Cytotoxicity:  0.329
BCF:   0.25
?
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:   2.861
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.651
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.605
?
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
NPO16116 Aniba canelilla Species Lauraceae Eukaryota n.a. n.a. n.a. PMID[38005295]
NPO6418 Passalora rosicola Species Mycosphaerellaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO19510 Origanum floribundum Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO23040 Methylomonas methanica Species Methylococcaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO14708 Macowania corymbosa Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13937 Leptodontidium elatius Species n.a. Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO19165 Comptonia peregrina Species Myricaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16769 Baccharis hutchisonii Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16116 Aniba canelilla Species Lauraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16769 Baccharis hutchisonii Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16116 Aniba canelilla Species Lauraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14708 Macowania corymbosa Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19510 Origanum floribundum Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19165 Comptonia peregrina Species Myricaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23040 Methylomonas methanica Species Methylococcaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO6418 Passalora rosicola Species Mycosphaerellaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13937 Leptodontidium elatius Species n.a. 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 NPC279534 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
0.7327 Intermediate Similarity NPC606657
0.7158 Intermediate Similarity NPC611303
0.703 Intermediate Similarity NPC186816
0.699 Remote Similarity NPC209296
0.699 Remote Similarity NPC473327
0.6311 Remote Similarity NPC251417
0.6286 Remote Similarity NPC22062
0.6286 Remote Similarity NPC473634
0.6286 Remote Similarity NPC138811
0.6275 Remote Similarity NPC276377
0.6262 Remote Similarity NPC470443
0.61 Remote Similarity NPC271692
0.6053 Remote Similarity NPC292019
0.6053 Remote Similarity NPC202908
0.6019 Remote Similarity NPC126784
0.6019 Remote Similarity NPC241423
0.6 Remote Similarity NPC142142
0.6 Remote Similarity NPC480441
0.5965 Remote Similarity NPC189564
0.5946 Remote Similarity NPC476472
0.5946 Remote Similarity NPC294815
0.5946 Remote Similarity NPC16194
0.5941 Remote Similarity NPC46420
0.5893 Remote Similarity NPC101636
0.5888 Remote Similarity NPC67105
0.5872 Remote Similarity NPC488074
0.5862 Remote Similarity NPC25523
0.5842 Remote Similarity NPC158674
0.5833 Remote Similarity NPC203259
0.5833 Remote Similarity NPC33054
0.5833 Remote Similarity NPC210073
0.5833 Remote Similarity NPC176740
0.5833 Remote Similarity NPC471725
0.5833 Remote Similarity NPC134532
0.5833 Remote Similarity NPC602582
0.5825 Remote Similarity NPC219904
0.578 Remote Similarity NPC473571
0.578 Remote Similarity NPC110941
0.5743 Remote Similarity NPC249281
0.5741 Remote Similarity NPC173582
0.5741 Remote Similarity NPC44931
0.5741 Remote Similarity NPC265885
0.5741 Remote Similarity NPC181465
0.5741 Remote Similarity NPC67326
0.5741 Remote Similarity NPC215710
0.5741 Remote Similarity NPC473438
0.5741 Remote Similarity NPC227508
0.5741 Remote Similarity NPC253788
0.5664 Remote Similarity NPC473073
0.5652 Remote Similarity NPC14187
0.5648 Remote Similarity NPC471079
0.5596 Remote Similarity NPC39834
0.5575 Remote Similarity NPC488089
0.5566 Remote Similarity NPC605784
0.5545 Remote Similarity NPC150164
0.5492 Remote Similarity NPC198199
0.5487 Remote Similarity NPC72016
0.547 Remote Similarity NPC203145
0.5439 Remote Similarity NPC486577
0.5431 Remote Similarity NPC470446
0.5421 Remote Similarity NPC116458
0.5421 Remote Similarity NPC246943
0.541 Remote Similarity NPC488086
0.5405 Remote Similarity NPC65563
0.5405 Remote Similarity NPC470949
0.536 Remote Similarity NPC120952
0.5357 Remote Similarity NPC204693
0.5351 Remote Similarity NPC483416
0.5351 Remote Similarity NPC32641
0.5351 Remote Similarity NPC256188
0.5351 Remote Similarity NPC473623
0.5345 Remote Similarity NPC221342
0.5345 Remote Similarity NPC476470
0.5339 Remote Similarity NPC121703
0.5317 Remote Similarity NPC192539
0.531 Remote Similarity NPC488073
0.5289 Remote Similarity NPC277532
0.5288 Remote Similarity NPC289667
0.5268 Remote Similarity NPC303913
0.5217 Remote Similarity NPC51326
0.5217 Remote Similarity NPC35119
0.5214 Remote Similarity NPC470449
0.5214 Remote Similarity NPC470445
0.521 Remote Similarity NPC11468
0.5175 Remote Similarity NPC240306
0.5169 Remote Similarity NPC135358
0.514 Remote Similarity NPC59534
0.5133 Remote Similarity NPC156869
0.5124 Remote Similarity NPC173837
0.5118 Remote Similarity NPC209550
0.5118 Remote Similarity NPC241781
0.5094 Remote Similarity NPC136042
0.5089 Remote Similarity NPC187379
0.5083 Remote Similarity NPC89052
0.5047 Remote Similarity NPC84362
0.5047 Remote Similarity NPC27640
0.5046 Remote Similarity NPC22832
0.5046 Remote Similarity NPC120099
0.5044 Remote Similarity NPC275454
0.5043 Remote Similarity NPC475366
0.5043 Remote Similarity NPC153755
0.5041 Remote Similarity NPC470451

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC279534 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
0.699 Remote Similarity NPD7054 Phase 4
0.6759 Remote Similarity NPD7808 Phase 3
0.6698 Remote Similarity NPD7251 Phase 2
0.5833 Remote Similarity NPD6797 Phase 2
0.5739 Remote Similarity NPD7472 Pre-clinical

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