Natural Product: NPC301382

Natural Product IDNPC301382
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
YDDUMTOHNYZQPO-FCXRPNKRSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 6124212
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0000129] Alcohols and polyols
          • [CHEMONTID:0001292] Cyclic alcohols and derivatives
            • [CHEMONTID:0002509] Cyclitols and derivatives
              • [CHEMONTID:0002512] Quinic acids and derivatives

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 YDDUMTOHNYZQPO-FCXRPNKRSA-N
Standard InCHI InChI=1S/C25H24O12/c26-15-5-1-13(9-17(15)28)3-7-21(31)36-20-12-25(24(34)35,11-19(30)23(20)33)37-22(32)8-4-14-2-6-16(27)18(29)10-14/h1-10,19-20,23,26-30,33H,11-12H2,(H,34,35)/b7-3+,8-4+
SMILES c1cc(c(cc1/C=C/C(=O)OC1CC(CC(C1O)O)(C(=O)O)OC(=O)/C=C/c1ccc(c(c1)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   516.13 Volume:   491.768
?
Van der Waals volume.
Dense:   1.05 LogP:   1.529
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.52
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.603
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   23.0
TPSA:   211.28
?
Topological Polar Surface Area.
H-Bond Acceptor:   12.0
H-Bond Donor:   7.0 Rings:   3.0
Heavy Atoms:   12.0

MedChem Properties

QED Drug-Likeness Score:   0.156 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.164 Fsp3:   0.24
MCE-18:   81.29
?
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:   0
Chelating Alert:   1 PAINS Alert:   1
Colloidal aggregators:   0.808 Fluc inhibitor:   0.956
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.279
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.785
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.454 Promiscuous compounds:   0.332

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.633 MDCK Permeability:   -5.055
Pgp-inhibitor:   0.0 Pgp-substrate:   0.0
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):   0.527
20% Bioavailability (F20%):   1.0 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.059
Plasma Protein Binding (PPB):   70.792% Volume Distribution (VD):   0.09
Fu: 22.081%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.998
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.0
BSEP inhibitor:   0.011

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:   0.014
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
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):  5.937 Half-life (T1/2):  2.491

ADMET: Toxicity

hERG Blockers:  0.06 hERG Blockers (10um):  0.402
Human Hepatotoxicity (H-HT):  0.418 Drug-induced Liver Injury (DILI):  0.785
AMES Toxicity:  0.453 Rat Oral Acute Toxicity:  0.097
Maximum Recommended Daily Dose:  0.841 Skin Sensitization:  0.998
Carcinogencity:  0.065 Eye Corrosion:  0.0
Eye Irritation:  0.228 Respiratory Toxicity:  0.029
Drug-induced Neurotoxicity:  0.021 Ototoxicity:  0.964
Hematotoxicity:  0.005 Drug-induced Nephrotoxicity:  0.131
Genotoxicity:  0.851 RPMI-8226 Immunitoxicity:  0.008
A549 Cytotoxicity:  0.62 Hek293 Cytotoxicity:  0.32
BCF:   0.611
?
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:   3.349
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.88
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.457
?
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
NPO10449 Arctium lappa Species Asteraceae Eukaryota n.a. fruit n.a. PMID[22396124]
NPO10449 Arctium lappa Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[23501116]
NPO2494 Xanthium strumarium Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[26081757]
NPO17612 Xanthium sibiricum Species Asteraceae Eukaryota Fruits n.a. n.a. PMID[26110443]
NPO2494 Xanthium strumarium Species Asteraceae Eukaryota n.a. aerial part n.a. PMID[27169184]
NPO17612 Xanthium sibiricum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2494 Xanthium strumarium Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10449 Arctium lappa Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO10449 Arctium lappa Species Asteraceae Eukaryota n.a. n.a. Database[FooDB]
NPO10449 Arctium lappa Species Asteraceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO10449 Arctium lappa Species Asteraceae Eukaryota Root n.a. n.a. Database[FooDB]
NPO10449 Arctium lappa Species Asteraceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO10449 Arctium lappa Species Asteraceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO10449 Arctium lappa Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO17612 Xanthium sibiricum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO10449 Arctium lappa Species Asteraceae Eukaryota n.a. n.a. Database[Phenol-Explorer]
NPO10449 Arctium lappa Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO17612 Xanthium sibiricum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO17612 Xanthium sibiricum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO10449 Arctium lappa Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO2494 Xanthium strumarium Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO17612 Xanthium sibiricum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO10449 Arctium lappa Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO2494 Xanthium strumarium Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10449 Arctium lappa Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17612 Xanthium sibiricum Species Asteraceae 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
NPT20556 Single protein Replicase polyprotein 1ab Severe acute respiratory syndrome coronavirus 2 Inhibition = 9.8 % PMID[36651644]
NPT20556 Single protein Replicase polyprotein 1ab Severe acute respiratory syndrome coronavirus 2 Inhibition n.a. n.a. % PMID[36651644]

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 NPC301382 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
1.0 High Similarity NPC284948
1.0 High Similarity NPC303090
1.0 High Similarity NPC37331
0.9333 High Similarity NPC220664
0.85 High Similarity NPC283560
0.85 High Similarity NPC24295
0.7826 Intermediate Similarity NPC471076
0.7826 Intermediate Similarity NPC192568
0.7143 Intermediate Similarity NPC319628
0.6552 Remote Similarity NPC224208
0.6552 Remote Similarity NPC41661
0.6515 Remote Similarity NPC37250
0.6515 Remote Similarity NPC142703
0.6515 Remote Similarity NPC152942
0.6515 Remote Similarity NPC9991
0.6515 Remote Similarity NPC302857
0.6515 Remote Similarity NPC600892
0.6324 Remote Similarity NPC477334
0.6154 Remote Similarity NPC13818
0.5797 Remote Similarity NPC471027
0.5672 Remote Similarity NPC219428
0.5625 Remote Similarity NPC488563
0.5507 Remote Similarity NPC295492
0.5507 Remote Similarity NPC303683
0.5507 Remote Similarity NPC274891
0.5417 Remote Similarity NPC278068
0.5357 Remote Similarity NPC473275
0.5278 Remote Similarity NPC205751
0.5278 Remote Similarity NPC206095
0.5278 Remote Similarity NPC35702
0.5278 Remote Similarity NPC224389
0.5238 Remote Similarity NPC474275
0.5224 Remote Similarity NPC258469
0.5224 Remote Similarity NPC43158
0.5224 Remote Similarity NPC610147
0.5195 Remote Similarity NPC156875
0.5161 Remote Similarity NPC217052
0.5161 Remote Similarity NPC329344
0.5161 Remote Similarity NPC237506
0.5161 Remote Similarity NPC32626
0.5139 Remote Similarity NPC477333

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC301382 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
1.0 High Similarity NPD6190 Approved

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