Natural Product: NPC128635

Natural Product IDNPC128635
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
QRQNIQMEGHMTGW-MNMACOOLSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 44257882
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 QRQNIQMEGHMTGW-MNMACOOLSA-N
Standard InCHI InChI=1S/C28H32O15/c1-39-11-4-2-10(3-5-11)13-6-12(31)18-14(40-13)7-15(42-28-26(38)24(36)21(33)17(9-30)43-28)19(22(18)34)27-25(37)23(35)20(32)16(8-29)41-27/h2-7,16-17,20-21,23-30,32-38H,8-9H2,1H3/t16?,17?,20-,21-,23+,24+,25?,26?,27+,28-/m1/s1
SMILES COc1ccc(cc1)c1cc(=O)c2c(cc(c(c2O)[C@H]2C([C@H]([C@@H](C(CO)O2)O)O)O)O[C@H]2C([C@H]([C@@H](C(CO)O2)O)O)O)o1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   608.17 Volume:   560.823
?
Van der Waals volume.
Dense:   1.084 LogP:   0.101
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.175
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.53
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   30.0
TPSA:   249.2
?
Topological Polar Surface Area.
H-Bond Acceptor:   15.0
H-Bond Donor:   9.0 Rings:   5.0
Heavy Atoms:   15.0

MedChem Properties

QED Drug-Likeness Score:   0.139 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.667 Fsp3:   0.464
MCE-18:   118.585
?
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:   0.61 Fluc inhibitor:   0.084
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.899
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.948
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.115 Promiscuous compounds:   0.162

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.409 MDCK Permeability:   -5.161
Pgp-inhibitor:   0.0 Pgp-substrate:   0.933
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):   1.0
20% Bioavailability (F20%):   0.945 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.848
Plasma Protein Binding (PPB):   82.929% Volume Distribution (VD):   0.112
Fu: 17.044%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.161
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.026
BSEP inhibitor:   0.001

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.324 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.001
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.022
?
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):  2.332 Half-life (T1/2):  4.532

ADMET: Toxicity

hERG Blockers:  0.036 hERG Blockers (10um):  0.102
Human Hepatotoxicity (H-HT):  0.582 Drug-induced Liver Injury (DILI):  0.922
AMES Toxicity:  0.728 Rat Oral Acute Toxicity:  0.036
Maximum Recommended Daily Dose:  0.059 Skin Sensitization:  0.706
Carcinogencity:  0.156 Eye Corrosion:  0.0
Eye Irritation:  0.006 Respiratory Toxicity:  0.005
Drug-induced Neurotoxicity:  0.002 Ototoxicity:  0.988
Hematotoxicity:  0.124 Drug-induced Nephrotoxicity:  0.384
Genotoxicity:  0.444 RPMI-8226 Immunitoxicity:  0.15
A549 Cytotoxicity:  0.11 Hek293 Cytotoxicity:  0.328
BCF:   0.364
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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:   2.915
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.807
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.631
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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
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota n.a. n.a. n.a. PMID[27617953]
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota Roots n.a. n.a. PMID[28257196]
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO5986 Ziziphus jujuba Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]

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 NPC128635 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
0.8333 Intermediate Similarity NPC602537
0.8214 Intermediate Similarity NPC607513
0.7356 Intermediate Similarity NPC603300
0.7229 Intermediate Similarity NPC10807
0.7229 Intermediate Similarity NPC161881
0.6905 Remote Similarity NPC95090
0.6905 Remote Similarity NPC27408
0.6824 Remote Similarity NPC186807
0.6786 Remote Similarity NPC58053
0.6559 Remote Similarity NPC257566
0.6354 Remote Similarity NPC150767
0.6044 Remote Similarity NPC22832
0.6044 Remote Similarity NPC243930
0.6042 Remote Similarity NPC606373
0.6023 Remote Similarity NPC143851
0.5978 Remote Similarity NPC607707
0.5955 Remote Similarity NPC93337
0.5934 Remote Similarity NPC609451
0.5889 Remote Similarity NPC105025
0.587 Remote Similarity NPC605067
0.5843 Remote Similarity NPC39360
0.5843 Remote Similarity NPC29763
0.5843 Remote Similarity NPC210003
0.5714 Remote Similarity NPC304745
0.5714 Remote Similarity NPC181712
0.5714 Remote Similarity NPC45638
0.57 Remote Similarity NPC124155
0.5667 Remote Similarity NPC45618
0.5652 Remote Similarity NPC201292
0.5638 Remote Similarity NPC311830
0.5625 Remote Similarity NPC472607
0.5604 Remote Similarity NPC146792
0.5604 Remote Similarity NPC189142
0.5604 Remote Similarity NPC77660
0.5543 Remote Similarity NPC610763
0.5495 Remote Similarity NPC261866
0.5474 Remote Similarity NPC88023
0.5474 Remote Similarity NPC309025
0.5474 Remote Similarity NPC602805
0.5437 Remote Similarity NPC475382
0.5376 Remote Similarity NPC58716
0.5368 Remote Similarity NPC601144
0.5361 Remote Similarity NPC211594
0.5319 Remote Similarity NPC182045
0.5312 Remote Similarity NPC111249
0.5288 Remote Similarity NPC256760
0.5275 Remote Similarity NPC328740
0.5275 Remote Similarity NPC289774
0.5269 Remote Similarity NPC168822
0.5263 Remote Similarity NPC191306
0.5208 Remote Similarity NPC284960
0.5208 Remote Similarity NPC80188
0.5208 Remote Similarity NPC486578
0.5161 Remote Similarity NPC289667
0.5161 Remote Similarity NPC110349
0.5158 Remote Similarity NPC472459
0.5155 Remote Similarity NPC220169
0.5149 Remote Similarity NPC22062
0.5149 Remote Similarity NPC473634
0.5149 Remote Similarity NPC138811
0.5106 Remote Similarity NPC259152
0.5098 Remote Similarity NPC204693
0.5098 Remote Similarity NPC131745
0.5096 Remote Similarity NPC483707
0.5054 Remote Similarity NPC53545
0.5052 Remote Similarity NPC148710
0.505 Remote Similarity NPC47923
0.5049 Remote Similarity NPC46202
0.5048 Remote Similarity NPC488089

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC128635 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