Natural Product: NPC96795

Natural Product IDNPC96795
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
[(2R,3R,4R,5R,6R)-4-[(2S,3R,4R,5R,6S)-4,5-Dihydroxy-6-Methyl-3-[(2S,3R,4R,5S)-3,4,5-Trihydroxyoxan-2-Yl]Oxyoxan-2-Yl]Oxy-6-[2-(3,4-Dihydroxyphenyl)Ethoxy]-5-Hydroxy-2-(Hydroxymethyl)Oxan-3-Yl] (E)-3-(3,4-Dihydroxyphenyl)Prop-2-Enoate
IUPAC Name [(2R,3R,4R,5R,6R)-4-[(2S,3R,4R,5R,6S)-4,5-dihydroxy-6-methyl-3-[(2S,3R,4R,5S)-3,4,5-trihydroxyoxan-2-yl]oxyoxan-2-yl]oxy-6-[2-(3,4-dihydroxyphenyl)ethoxy]-5-hydroxy-2-(hydroxymethyl)oxan-3-yl] (E)-3-(3,4-dihydroxyphenyl)prop-2-enoate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL595544
PubChem CID 14034194
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0000011] Carbohydrates and carbohydrate conjugates
          • [CHEMONTID:0000198] Oligosaccharides

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 UDHCHDJLZGYDDM-JPCQEIDESA-N
Standard InCHI InChI=1S/C34H44O19/c1-14-24(42)26(44)31(53-32-27(45)25(43)21(40)13-48-32)34(49-14)52-30-28(46)33(47-9-8-16-3-6-18(37)20(39)11-16)50-22(12-35)29(30)51-23(41)7-4-15-2-5-17(36)19(38)10-15/h2-7,10-11,14,21-22,24-40,42-46H,8-9,12-13H2,1H3/b7-4+/t14-,21-,22+,24-,25+,26+,27+,28+,29+,30+,31+,32-,33+,34-/m0/s1
SMILES OC[C@H]1O[C@@H](OCCc2ccc(c(c2)O)O)[C@@H]([C@H]([C@@H]1OC(=O)/C=C/c1ccc(c(c1)O)O)O[C@@H]1O[C@@H](C)[C@@H]([C@H]([C@H]1O[C@@H]1OC[C@@H]([C@H]([C@H]1O)O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   756.25 Volume:   699.76
?
Van der Waals volume.
Dense:   1.081 LogP:   -0.064
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.888
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.031
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   13.0 Rigid Bonds:   32.0
TPSA:   304.21
?
Topological Polar Surface Area.
H-Bond Acceptor:   19.0
H-Bond Donor:   11.0 Rings:   5.0
Heavy Atoms:   19.0

MedChem Properties

QED Drug-Likeness Score:   0.06 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.319 Fsp3:   0.559
MCE-18:   128.377
?
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:   0.702 Fluc inhibitor:   0.659
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.112
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.6
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.336 Promiscuous compounds:   0.41

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.785 MDCK Permeability:   -5.118
Pgp-inhibitor:   0.0 Pgp-substrate:   0.474
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):   0.987
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:   0.063
Plasma Protein Binding (PPB):   60.299% Volume Distribution (VD):   -0.312
Fu: 34.25%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.006
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:   0.022
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.915
?
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):  1.347 Half-life (T1/2):  4.421

ADMET: Toxicity

hERG Blockers:  0.022 hERG Blockers (10um):  0.317
Human Hepatotoxicity (H-HT):  0.369 Drug-induced Liver Injury (DILI):  0.701
AMES Toxicity:  0.96 Rat Oral Acute Toxicity:  0.005
Maximum Recommended Daily Dose:  0.016 Skin Sensitization:  1.0
Carcinogencity:  0.014 Eye Corrosion:  0.0
Eye Irritation:  0.017 Respiratory Toxicity:  0.001
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.999
Hematotoxicity:  0.071 Drug-induced Nephrotoxicity:  0.268
Genotoxicity:  0.396 RPMI-8226 Immunitoxicity:  0.027
A549 Cytotoxicity:  0.995 Hek293 Cytotoxicity:  0.628
BCF:   0.561
?
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:   3.283
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.039
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.348
?
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
NPO33377 teucrium chamaedris Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[19674906]

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
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 54.7 % PMID[19674906]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 0.5 n.a. PMID[19674906]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 1.5 n.a. PMID[19674906]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 2.0 n.a. PMID[19674906]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 16300.0 nM PMID[19674906]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 34600.0 nM PMID[19674906]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. IC50 = 44800.0 nM PMID[19674906]
NPT1 Others Radical scavenging activity n.a. Activity = 1.4 n.a. Open TG-GATES in vivo data: Biochemistry
NPT1 Others Radical scavenging activity n.a. IC50 = 16500.0 nM PMID[18980381]

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 NPC96795 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 NPC264632
0.8587 High Similarity NPC94871
0.837 Intermediate Similarity NPC64195
0.7917 Intermediate Similarity NPC229505
0.7872 Intermediate Similarity NPC471062
0.7812 Intermediate Similarity NPC473427
0.7674 Intermediate Similarity NPC472350
0.7674 Intermediate Similarity NPC197316
0.7674 Intermediate Similarity NPC89105
0.7282 Intermediate Similarity NPC257970
0.7204 Intermediate Similarity NPC476397
0.7174 Intermediate Similarity NPC269141
0.6966 Remote Similarity NPC483706
0.6915 Remote Similarity NPC205864
0.6915 Remote Similarity NPC247032
0.6889 Remote Similarity NPC483705
0.6832 Remote Similarity NPC306890
0.6737 Remote Similarity NPC252292
0.6667 Remote Similarity NPC112
0.6636 Remote Similarity NPC470927
0.6598 Remote Similarity NPC100998
0.6562 Remote Similarity NPC298257
0.6562 Remote Similarity NPC175214
0.6559 Remote Similarity NPC76406
0.6495 Remote Similarity NPC296954
0.6484 Remote Similarity NPC46137
0.6316 Remote Similarity NPC611289
0.6279 Remote Similarity NPC886
0.6277 Remote Similarity NPC68092
0.625 Remote Similarity NPC476398
0.6224 Remote Similarity NPC105005
0.6196 Remote Similarity NPC260425
0.6139 Remote Similarity NPC300894
0.6139 Remote Similarity NPC23845
0.6082 Remote Similarity NPC263829
0.596 Remote Similarity NPC34587
0.5941 Remote Similarity NPC34927
0.5882 Remote Similarity NPC610636
0.5865 Remote Similarity NPC476384
0.5865 Remote Similarity NPC106818
0.5851 Remote Similarity NPC81515
0.5773 Remote Similarity NPC134405
0.5648 Remote Similarity NPC87403
0.5534 Remote Similarity NPC119537
0.55 Remote Similarity NPC476377
0.5463 Remote Similarity NPC476380
0.5463 Remote Similarity NPC476381
0.5421 Remote Similarity NPC476375
0.5408 Remote Similarity NPC64141
0.5408 Remote Similarity NPC40305
0.5408 Remote Similarity NPC171134
0.5385 Remote Similarity NPC287597
0.537 Remote Similarity NPC196063
0.537 Remote Similarity NPC604195
0.5253 Remote Similarity NPC205195
0.5213 Remote Similarity NPC473285
0.5135 Remote Similarity NPC470933
0.513 Remote Similarity NPC476386
0.51 Remote Similarity NPC321638
0.5093 Remote Similarity NPC259347
0.5046 Remote Similarity NPC476382
0.5045 Remote Similarity NPC476378

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC96795 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
0.7674 Intermediate Similarity NPD7266 Phase 2

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