Natural Product: NPC473826

Natural Product IDNPC473826
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Ciwujianoside C1
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,6aS,6aS,6bR,8aR,10S,12aR,14bS)-6a,9,9,12a-tetramethyl-2-methylidene-10-[(2S,3R,4S,5S)-3,4,5-trihydroxyoxan-2-yl]oxy-3,4,5,6,6a,6b,7,8,8a,10,11,12,13,14b-tetradecahydro-1H-picene-4a-carboxylate
Synonyms Ciwujianoside C1
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL452890
PubChem CID 44559148
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0002049] Terpene glycosides
          • [CHEMONTID:0001755] Diterpene 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 LQPWRMRELFRFPB-DWPVWJEWSA-N
Standard InCHI InChI=1S/C51H80O21/c1-21-11-14-51(16-15-49(5)23-9-10-30-48(3,4)31(70-44-38(60)33(55)27(53)19-65-44)12-13-50(30,6)24(23)7-8-25(49)26(51)17-21)47(64)72-46-40(62)36(58)34(56)29(69-46)20-66-43-41(63)37(59)42(28(18-52)68-43)71-45-39(61)35(57)32(54)22(2)67-45/h8,22-24,26-46,52-63H,1,7,9-20H2,2-6H3/t22-,23+,24-,26-,27-,28+,29+,30-,31-,32-,33-,34+,35+,36-,37+,38+,39+,40+,41+,42+,43+,44-,45-,46-,49-,50+,51-/m0/s1
SMILES OC[C@H]1O[C@@H](OC[C@H]2O[C@@H](OC(=O)[C@@]34CCC(=C)C[C@H]4C4=CC[C@H]5[C@H]([C@@]4(CC3)C)CC[C@@H]3[C@]5(C)CC[C@@H](C3(C)C)O[C@@H]3OC[C@@H]([C@@H]([C@H]3O)O)O)[C@@H]([C@H]([C@@H]2O)O)O)[C@@H]([C@H]([C@@H]1O[C@@H]1O[C@@H](C)[C@@H]([C@H]([C@H]1O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1028.52 Volume:   990.329
?
Van der Waals volume.
Dense:   1.039 LogP:   1.47
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.037
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.814
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The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   52.0
TPSA:   333.67
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Topological Polar Surface Area.
H-Bond Acceptor:   21.0
H-Bond Donor:   12.0 Rings:   9.0
Heavy Atoms:   21.0

MedChem Properties

QED Drug-Likeness Score:   0.069 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.767 Fsp3:   0.902
MCE-18:   185.072
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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:   0.822 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.005
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.217 Promiscuous compounds:   0.19

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.377 MDCK Permeability:   -4.967
Pgp-inhibitor:   0.0 Pgp-substrate:   0.75
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):   0.065
20% Bioavailability (F20%):   0.221 30% Bioavailability (F30%):   0.999
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.007 MRP1:   0.005
Plasma Protein Binding (PPB):   62.406% Volume Distribution (VD):   -0.306
Fu: 26.285%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.004
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:   0.989
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.948
HLM stability:   0.082
?
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):  -0.266 Half-life (T1/2):  3.926

ADMET: Toxicity

hERG Blockers:  0.007 hERG Blockers (10um):  0.021
Human Hepatotoxicity (H-HT):  0.472 Drug-induced Liver Injury (DILI):  0.873
AMES Toxicity:  0.972 Rat Oral Acute Toxicity:  0.001
Maximum Recommended Daily Dose:  0.001 Skin Sensitization:  1.0
Carcinogencity:  0.014 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.001
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.465 Drug-induced Nephrotoxicity:  0.956
Genotoxicity:  0.032 RPMI-8226 Immunitoxicity:  0.296
A549 Cytotoxicity:  0.958 Hek293 Cytotoxicity:  0.536
BCF:   2.098
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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:   4.163
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.641
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.923
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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
NPO31494 Acanthopanax senticosus n.a. n.a. n.a. n.a. leaf n.a. PMID[11816040]
NPO31494 Acanthopanax senticosus n.a. n.a. n.a. n.a. n.a. n.a. PMID[17125224]
NPO31494 Acanthopanax senticosus n.a. n.a. n.a. Barks Iksan, Chunbuk, Korea n.a. PMID[3127544]
NPO31494 Acanthopanax senticosus n.a. n.a. n.a. n.a. n.a. n.a. Database[COCONUT]
NPO31494 Acanthopanax senticosus n.a. n.a. n.a. n.a. n.a. n.a. Database[HerDing]
NPO31494 Acanthopanax senticosus n.a. n.a. n.a. n.a. n.a. n.a. Database[TCM_Taiwan]

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
NPT2797 Individual protein Pancreatic lipase Homo sapiens Inhibition = 46.5 % PMID[11908979]

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 NPC473826 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
0.8641 High Similarity NPC114287
0.7658 Intermediate Similarity NPC309907
0.7105 Intermediate Similarity NPC165204
0.6875 Remote Similarity NPC295823
0.6875 Remote Similarity NPC174720
0.6875 Remote Similarity NPC475467
0.6752 Remote Similarity NPC475209
0.65 Remote Similarity NPC488560
0.6293 Remote Similarity NPC241909
0.614 Remote Similarity NPC148417
0.6083 Remote Similarity NPC60557
0.6083 Remote Similarity NPC67857
0.6048 Remote Similarity NPC481080
0.6016 Remote Similarity NPC475160
0.6016 Remote Similarity NPC473714
0.5938 Remote Similarity NPC236638
0.5938 Remote Similarity NPC294453
0.5935 Remote Similarity NPC135904
0.5827 Remote Similarity NPC110633
0.5758 Remote Similarity NPC250247
0.5748 Remote Similarity NPC476068
0.5692 Remote Similarity NPC136768
0.563 Remote Similarity NPC469821
0.5573 Remote Similarity NPC305981
0.5565 Remote Similarity NPC76972
0.5565 Remote Similarity NPC469782
0.5565 Remote Similarity NPC204414
0.5538 Remote Similarity NPC258617
0.553 Remote Similarity NPC261506
0.553 Remote Similarity NPC4328
0.5455 Remote Similarity NPC202828
0.5455 Remote Similarity NPC119592
0.5424 Remote Similarity NPC104071
0.542 Remote Similarity NPC41061
0.542 Remote Similarity NPC227551
0.5397 Remote Similarity NPC192600
0.5379 Remote Similarity NPC43550
0.5378 Remote Similarity NPC102439
0.5294 Remote Similarity NPC287269
0.5285 Remote Similarity NPC481079
0.525 Remote Similarity NPC101744
0.5217 Remote Similarity NPC48499
0.5194 Remote Similarity NPC155410
0.5188 Remote Similarity NPC475514
0.5154 Remote Similarity NPC100639
0.5122 Remote Similarity NPC134835
0.5122 Remote Similarity NPC601659
0.5111 Remote Similarity NPC481081
0.5109 Remote Similarity NPC224381
0.5109 Remote Similarity NPC220160
0.5074 Remote Similarity NPC298034
0.5074 Remote Similarity NPC71065
0.5044 Remote Similarity NPC128925
0.5043 Remote Similarity NPC90856
0.5042 Remote Similarity NPC295371
0.5041 Remote Similarity NPC146563

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC473826 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