Natural Product: NPC469775

Natural Product IDNPC469775
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Clematochinenoside E
IUPAC Name [(2S,3R,4S,5S,6R)-6-[[(2R,3R,4R,5S,6R)-3,4-dihydroxy-6-(hydroxymethyl)-5-[(2S,3R,4R,5R,6S)-3,4,5-trihydroxy-6-methyloxan-2-yl]oxyoxan-2-yl]oxymethyl]-3,4,5-trihydroxyoxan-2-yl] (4aS,6aR,6aS,6bR,8aR,9R,10S,12aR,14bS)-10-[(2S,3R,4S,5R)-3-[(2S,3R,4R,5S,6S)-4-[(2S,3R,4S,5R)-5-[(2R,3R,4R,5S,6R)-3,4-dihydroxy-6-(hydroxymethyl)-5-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-[[(E)-3-(3-hydroxy-4-methoxyphenyl)prop-2-enoyl]oxymethyl]oxan-2-yl]oxyoxan-2-yl]oxy-3,4-dihydroxyoxan-2-yl]oxy-3,5-dihydroxy-6-methyloxan-2-yl]oxy-4,5-dihydroxyoxan-2-yl]oxy-9-(hydroxymethyl)-2,2,6a,6b,9,12a-hexamethyl-1,3,4,5,6,6a,7,8,8a,10,11,12,13,14b-tetradecahydropicene-4a-carboxylate
Synonyms Clematochinenoside E
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1171254
PubChem CID 49799227
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0002049] Terpene glycosides
          • [CHEMONTID:0001580] Triterpene glycosides
            • [CHEMONTID:0002358] Triterpene saponins

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 VHCSZQUYNKUEQK-XAOHDVSWSA-N
Standard InCHI InChI=1S/C86H132O43/c1-33-50(93)56(99)62(105)74(117-33)125-68-41(26-87)119-72(65(108)59(68)102)115-30-44-54(97)58(101)64(107)77(123-44)129-80(111)86-22-20-81(3,4)25-37(86)36-12-14-47-82(5)18-17-48(83(6,32-89)46(82)16-19-85(47,8)84(36,7)21-23-86)124-79-71(52(95)39(91)28-114-79)128-78-67(110)70(51(94)34(2)118-78)127-73-61(104)55(98)45(31-116-73)121-75-66(109)60(103)69(42(27-88)120-75)126-76-63(106)57(100)53(96)43(122-76)29-113-49(92)15-11-35-10-13-40(112-9)38(90)24-35/h10-13,15,24,33-34,37,39,41-48,50-79,87-91,93-110H,14,16-23,25-32H2,1-9H3/b15-11+/t33-,34-,37-,39+,41+,42+,43+,44+,45+,46+,47+,48-,50-,51-,52-,53+,54+,55+,56+,57-,58-,59+,60+,61+,62+,63+,64+,65+,66+,67+,68+,69+,70+,71+,72+,73-,74-,75-,76-,77-,78-,79-,82-,83-,84+,85+,86-/m0/s1
SMILES CC1C(C(C(C(O1)OC2C(OC(C(C2O)O)OCC3C(C(C(C(O3)OC(=O)C45CCC(CC4C6=CCC7C8(CCC(C(C8CCC7(C6(CC5)C)C)(C)CO)OC9C(C(C(CO9)O)O)OC1C(C(C(C(O1)C)O)OC1C(C(C(CO1)OC1C(C(C(C(O1)CO)OC1C(C(C(C(O1)COC(=O)C=CC1=CC(=C(C=C1)OC)O)O)O)O)O)O)O)O)O)C)(C)C)O)O)O)CO)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1852.81 Volume:   1735.745
?
Van der Waals volume.
Dense:   1.067 LogP:   -1.971
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   -0.867
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.966
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   27.0 Rigid Bonds:   83.0
TPSA:   665.57
?
Topological Polar Surface Area.
H-Bond Acceptor:   43.0
H-Bond Donor:   23.0 Rings:   14.0
Heavy Atoms:   43.0

MedChem Properties

QED Drug-Likeness Score:   0.019 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   8.126 Fsp3:   0.86
MCE-18:   405.0
?
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:   0.243 Fluc inhibitor:   0.265
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.092
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.645
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.386 Promiscuous compounds:   0.002

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -7.834 MDCK Permeability:   -4.766
Pgp-inhibitor:   0.0 Pgp-substrate:   1.0
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):   1.0
20% Bioavailability (F20%):   0.999 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   1.0
Plasma Protein Binding (PPB):   21.972% Volume Distribution (VD):   -0.337
Fu: 28.082%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.0
OATP1B3 inhibitor:   0.205 BCRP inhibitor:   0.0
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.892 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.997 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.055
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):  -2.398 Half-life (T1/2):  7.185

ADMET: Toxicity

hERG Blockers:  0.001 hERG Blockers (10um):  0.197
Human Hepatotoxicity (H-HT):  0.158 Drug-induced Liver Injury (DILI):  0.524
AMES Toxicity:  0.877 Rat Oral Acute Toxicity:  0.037
Maximum Recommended Daily Dose:  0.139 Skin Sensitization:  0.053
Carcinogencity:  0.0 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.444 Ototoxicity:  1.0
Hematotoxicity:  0.0 Drug-induced Nephrotoxicity:  0.007
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.396
A549 Cytotoxicity:  0.034 Hek293 Cytotoxicity:  0.993
BCF:   -0.094
?
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:   4.105
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.654
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.304
?
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
NPO6583 Clematis chinensis Species Ranunculaceae Eukaryota roots n.a. n.a. PMID[15387651]
NPO6583 Clematis chinensis Species Ranunculaceae Eukaryota roots and rhizomes Shaoguan, Guangdong Province, China 2007-Dec PMID[20540535]
NPO6583 Clematis chinensis Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6583 Clematis chinensis Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO6583 Clematis chinensis Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO6583 Clematis chinensis Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO6583 Clematis chinensis Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO6583 Clematis chinensis Species Ranunculaceae 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
NPT30 Individual protein Cyclooxygenase-1 Homo sapiens IC50 = 8900.0 nM DrugMatrix in vivo data: Pathology
NPT31 Individual protein Cyclooxygenase-2 Homo sapiens IC50 = 7900.0 nM PubChem BioAssay data set

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 NPC469775 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
0.9424 High Similarity NPC469776
0.9225 High Similarity NPC469774
0.9034 High Similarity NPC100925
0.8912 High Similarity NPC469777
0.8733 High Similarity NPC469772
0.8699 High Similarity NPC32723
0.8639 High Similarity NPC481323
0.8639 High Similarity NPC469778
0.8618 High Similarity NPC469773
0.8523 High Similarity NPC135334
0.8247 Intermediate Similarity NPC295941
0.7756 Intermediate Similarity NPC481324
0.7754 Intermediate Similarity NPC298034
0.7754 Intermediate Similarity NPC71065
0.7681 Intermediate Similarity NPC202828
0.7681 Intermediate Similarity NPC119592
0.7259 Intermediate Similarity NPC76972
0.7259 Intermediate Similarity NPC469782
0.7259 Intermediate Similarity NPC204414
0.7254 Intermediate Similarity NPC261506
0.7254 Intermediate Similarity NPC4328
0.7183 Intermediate Similarity NPC236638
0.7183 Intermediate Similarity NPC294453
0.7183 Intermediate Similarity NPC305981
0.7113 Intermediate Similarity NPC65105
0.7042 Intermediate Similarity NPC41061
0.7042 Intermediate Similarity NPC227551
0.6763 Remote Similarity NPC60557
0.6763 Remote Similarity NPC67857
0.6759 Remote Similarity NPC293330
0.6644 Remote Similarity NPC43550
0.6644 Remote Similarity NPC250247
0.662 Remote Similarity NPC135904
0.6503 Remote Similarity NPC155410
0.6479 Remote Similarity NPC79643
0.6475 Remote Similarity NPC241909
0.6395 Remote Similarity NPC110633
0.637 Remote Similarity NPC481080
0.6358 Remote Similarity NPC220160
0.6345 Remote Similarity NPC100639
0.6294 Remote Similarity NPC475287
0.6276 Remote Similarity NPC123199
0.625 Remote Similarity NPC192600
0.6207 Remote Similarity NPC165204
0.6187 Remote Similarity NPC475504
0.6081 Remote Similarity NPC488560
0.6053 Remote Similarity NPC481081
0.6014 Remote Similarity NPC295823
0.6014 Remote Similarity NPC174720
0.6014 Remote Similarity NPC475467
0.5948 Remote Similarity NPC136768
0.5906 Remote Similarity NPC475160
0.5906 Remote Similarity NPC473714
0.5894 Remote Similarity NPC476068
0.5862 Remote Similarity NPC481078
0.5817 Remote Similarity NPC258617
0.5816 Remote Similarity NPC102439
0.5779 Remote Similarity NPC161717
0.5775 Remote Similarity NPC63159
0.5745 Remote Similarity NPC104071
0.5563 Remote Similarity NPC112352
0.5535 Remote Similarity NPC224381
0.5423 Remote Similarity NPC295371
0.5385 Remote Similarity NPC57484
0.5359 Remote Similarity NPC133818
0.529 Remote Similarity NPC471550
0.528 Remote Similarity NPC70809
0.5238 Remote Similarity NPC148417
0.522 Remote Similarity NPC475514
0.5212 Remote Similarity NPC480422
0.5188 Remote Similarity NPC471385
0.5139 Remote Similarity NPC473373
0.5102 Remote Similarity NPC309714
0.5099 Remote Similarity NPC481079
0.5062 Remote Similarity NPC473452
0.5035 Remote Similarity NPC48499
0.5034 Remote Similarity NPC150400
0.5032 Remote Similarity NPC475209
0.5032 Remote Similarity NPC219180
0.5032 Remote Similarity NPC251263
0.5029 Remote Similarity NPC472268

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC469775 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