Natural Product: NPC187400

Natural Product IDNPC187400
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Mogroside Ii B
IUPAC Name (2R,3R,4S,5S,6R)-2-[[(3S,8S,9R,10R,11R,13R,14S,17R)-11-hydroxy-17-[(2R,5R)-5-hydroxy-6-methyl-6-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxyheptan-2-yl]-4,4,9,13,14-pentamethyl-2,3,7,8,10,11,12,15,16,17-decahydro-1H-cyclopenta[a]phenanthren-3-yl]oxy]-6-(hydroxymethyl)oxane-3,4,5-triol
Synonyms mogroside II B
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL228083
PubChem CID 44423068
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0001013] Steroidal glycosides
          • [CHEMONTID:0002364] Steroidal saponins
            • [CHEMONTID:0001687] Cucurbitacin 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 OMJOQOVMHUWPCF-VHLOEOCYSA-N
Standard InCHI InChI=1S/C42H72O14/c1-20(9-13-27(45)39(4,5)56-37-35(52)33(50)31(48)25(19-44)54-37)21-15-16-40(6)26-12-10-22-23(42(26,8)28(46)17-41(21,40)7)11-14-29(38(22,2)3)55-36-34(51)32(49)30(47)24(18-43)53-36/h10,20-21,23-37,43-52H,9,11-19H2,1-8H3/t20-,21-,23-,24-,25-,26+,27-,28-,29+,30-,31-,32+,33+,34-,35-,36+,37+,40+,41-,42+/m1/s1
SMILES C[C@H](CC[C@H](C(C)(C)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O)O)[C@H]1CC[C@@]2(C)[C@@H]3CC=C4[C@@H](CC[C@@H](C4(C)C)O[C@H]4[C@@H]([C@H]([C@@H]([C@@H](CO)O4)O)O)O)[C@]3(C)[C@@H](C[C@]12C)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   800.49 Volume:   804.076
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Van der Waals volume.
Dense:   0.996 LogP:   3.305
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.6
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.226
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The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   32.0
TPSA:   239.22
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Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   10.0 Rings:   6.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.132 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.111 Fsp3:   0.952
MCE-18:   133.098
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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:   0.73 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:   0.007
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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:   0.258 Promiscuous compounds:   0.049

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.135 MDCK Permeability:   -5.136
Pgp-inhibitor:   0.0 Pgp-substrate:   0.928
PAMPA:   1.0
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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):   0.018
20% Bioavailability (F20%):   0.183 30% Bioavailability (F30%):   0.947
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.127 MRP1:   0.115
Plasma Protein Binding (PPB):   67.645% Volume Distribution (VD):   -0.326
Fu: 24.186%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.078
BSEP inhibitor:   0.001

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.002
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.981 CYP3A4-substrate:   0.542
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.902
HLM stability:   0.047
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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):  1.237 Half-life (T1/2):  3.151

ADMET: Toxicity

hERG Blockers:  0.011 hERG Blockers (10um):  0.018
Human Hepatotoxicity (H-HT):  0.75 Drug-induced Liver Injury (DILI):  0.918
AMES Toxicity:  0.959 Rat Oral Acute Toxicity:  0.012
Maximum Recommended Daily Dose:  0.015 Skin Sensitization:  1.0
Carcinogencity:  0.321 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.004
Drug-induced Neurotoxicity:  0.003 Ototoxicity:  0.998
Hematotoxicity:  0.675 Drug-induced Nephrotoxicity:  0.974
Genotoxicity:  0.744 RPMI-8226 Immunitoxicity:  0.19
A549 Cytotoxicity:  0.916 Hek293 Cytotoxicity:  0.682
BCF:   1.202
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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:   3.405
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.803
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.972
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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
NPO32612 siraitia gros venorii Species Cucurbitaceae Eukaryota fruits n.a. n.a. PMID[17477572]

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
NPT80 Cell line Raji Homo sapiens Activity = 70.0 % PubChem BioAssay data set
NPT164 Organism Human herpesvirus 4 Human herpesvirus 4 Activity = 7.2 % PMID[20384315]
NPT164 Organism Human herpesvirus 4 Human herpesvirus 4 Activity = 26.0 % DrugMatrix in vivo data: Pathology
NPT164 Organism Human herpesvirus 4 Human herpesvirus 4 Activity = 76.0 % PMID[24673739]
NPT164 Organism Human herpesvirus 4 Human herpesvirus 4 Activity = 100.0 % PMID[9526564]
NPT2 Others Unspecified n.a. Ratio = 1.5 n.a. PMID[26200396]

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 NPC187400 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
0.8133 Intermediate Similarity NPC75608
0.8026 Intermediate Similarity NPC221562
0.7093 Intermediate Similarity NPC190395
0.663 Remote Similarity NPC302057
0.6353 Remote Similarity NPC154856
0.6092 Remote Similarity NPC74727
0.6092 Remote Similarity NPC130427
0.6047 Remote Similarity NPC52241
0.5761 Remote Similarity NPC309448
0.5699 Remote Similarity NPC485581
0.5638 Remote Similarity NPC485578
0.5521 Remote Similarity NPC279638
0.5306 Remote Similarity NPC474265
0.5263 Remote Similarity NPC606839
0.5196 Remote Similarity NPC485582
0.5196 Remote Similarity NPC485579
0.5146 Remote Similarity NPC485583
0.51 Remote Similarity NPC474557
0.5048 Remote Similarity NPC485584

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC187400 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