Natural Product: NPC51748

Natural Product IDNPC51748
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
MRDFHICWVSPYMK-RSYYVGGKSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 14588326
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 MRDFHICWVSPYMK-RSYYVGGKSA-N
Standard InCHI InChI=1S/C62H100O30/c1-23-46(88-52-45(79)47(30(67)21-83-52)89-51-42(76)36(70)28(65)19-82-51)40(74)44(78)53(86-23)90-48-37(71)29(66)20-84-55(48)92-56(80)62-14-13-57(2,3)15-25(62)24-9-10-33-59(6)16-26(63)49(58(4,5)32(59)11-12-60(33,7)61(24,8)17-34(62)68)91-54-43(77)39(73)38(72)31(87-54)22-85-50-41(75)35(69)27(64)18-81-50/h9,23,25-55,63-79H,10-22H2,1-8H3/t23-,25-,26-,27-,28+,29+,30-,31+,32-,33+,34+,35-,36-,37-,38+,39-,40-,41+,42+,43+,44+,45+,46-,47-,48+,49-,50-,51-,52-,53-,54-,55-,59-,60+,61+,62+/m0/s1
SMILES C[C@H]1[C@@H]([C@H]([C@H]([C@@H](O1)O[C@@H]1[C@H]([C@@H](CO[C@H]1OC(=O)[C@]12CCC(C)(C)C[C@H]1C1=CC[C@@H]3[C@@]4(C)C[C@@H]([C@@H](C(C)(C)[C@@H]4CC[C@@]3(C)[C@]1(C)C[C@H]2O)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO[C@H]2[C@@H]([C@H]([C@H](CO2)O)O)O)O1)O)O)O)O)O)O)O)O)O[C@H]1[C@@H]([C@H]([C@H](CO1)O)O[C@H]1[C@@H]([C@H]([C@@H](CO1)O)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1324.63 Volume:   1245.22
?
Van der Waals volume.
Dense:   1.064 LogP:   0.508
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.149
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.439
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   14.0 Rigid Bonds:   63.0
TPSA:   471.74
?
Topological Polar Surface Area.
H-Bond Acceptor:   30.0
H-Bond Donor:   17.0 Rings:   11.0
Heavy Atoms:   30.0

MedChem Properties

QED Drug-Likeness Score:   0.047 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.715 Fsp3:   0.952
MCE-18:   240.248
?
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:   0.678 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.006
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.316 Promiscuous compounds:   0.086

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.924 MDCK Permeability:   -4.958
Pgp-inhibitor:   0.0 Pgp-substrate:   0.997
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):   0.822
20% Bioavailability (F20%):   0.409 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.011
Plasma Protein Binding (PPB):   60.787% Volume Distribution (VD):   -0.287
Fu: 20.518%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.0
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:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.002
HLM stability:   0.033
?
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):  -0.733 Half-life (T1/2):  4.156

ADMET: Toxicity

hERG Blockers:  0.001 hERG Blockers (10um):  0.001
Human Hepatotoxicity (H-HT):  0.712 Drug-induced Liver Injury (DILI):  0.952
AMES Toxicity:  0.988 Rat Oral Acute Toxicity:  0.0
Maximum Recommended Daily Dose:  0.0 Skin Sensitization:  1.0
Carcinogencity:  0.003 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.66 Drug-induced Nephrotoxicity:  1.0
Genotoxicity:  0.029 RPMI-8226 Immunitoxicity:  0.612
A549 Cytotoxicity:  0.992 Hek293 Cytotoxicity:  0.577
BCF:   0.933
?
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:   3.38
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.899
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.849
?
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
NPO28688 Aster tataricus Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[30931559]
NPO28688 Aster tataricus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO28688 Aster tataricus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28688 Aster tataricus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28688 Aster tataricus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO28688 Aster tataricus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO28688 Aster tataricus Species Asteraceae 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

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 NPC51748 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
0.8929 High Similarity NPC13998
0.8407 Intermediate Similarity NPC480423
0.8211 Intermediate Similarity NPC480421
0.8033 Intermediate Similarity NPC102505
0.8033 Intermediate Similarity NPC488514
0.8 Intermediate Similarity NPC309223
0.7949 Intermediate Similarity NPC85154
0.7851 Intermediate Similarity NPC144644
0.7851 Intermediate Similarity NPC170407
0.76 Intermediate Similarity NPC68767
0.7561 Intermediate Similarity NPC37860
0.75 Intermediate Similarity NPC480420
0.7438 Intermediate Similarity NPC473386
0.7417 Intermediate Similarity NPC471577
0.7414 Intermediate Similarity NPC815
0.7323 Intermediate Similarity NPC293031
0.725 Intermediate Similarity NPC480419
0.7209 Intermediate Similarity NPC8524
0.7179 Intermediate Similarity NPC104137
0.7179 Intermediate Similarity NPC26626
0.7177 Intermediate Similarity NPC471580
0.7154 Intermediate Similarity NPC33012
0.7031 Intermediate Similarity NPC142151
0.7016 Intermediate Similarity NPC237191
0.7 Intermediate Similarity NPC153673
0.6899 Remote Similarity NPC224381
0.687 Remote Similarity NPC51099
0.6842 Remote Similarity NPC275225
0.6825 Remote Similarity NPC480418
0.6822 Remote Similarity NPC70809
0.6769 Remote Similarity NPC267694
0.6742 Remote Similarity NPC110385
0.6693 Remote Similarity NPC286457
0.6644 Remote Similarity NPC472270
0.6644 Remote Similarity NPC112492
0.6643 Remote Similarity NPC485563
0.6581 Remote Similarity NPC488526
0.6562 Remote Similarity NPC473452
0.6515 Remote Similarity NPC220160
0.6327 Remote Similarity NPC23020
0.6324 Remote Similarity NPC480422
0.6312 Remote Similarity NPC297950
0.6296 Remote Similarity NPC480417
0.6268 Remote Similarity NPC472268
0.626 Remote Similarity NPC475514
0.6198 Remote Similarity NPC488517
0.6099 Remote Similarity NPC489208
0.6033 Remote Similarity NPC164389
0.6015 Remote Similarity NPC470876
0.6013 Remote Similarity NPC488513
0.596 Remote Similarity NPC472269
0.5954 Remote Similarity NPC488560
0.5902 Remote Similarity NPC232237
0.5899 Remote Similarity NPC489209
0.5809 Remote Similarity NPC236638
0.5809 Remote Similarity NPC294453
0.5769 Remote Similarity NPC123522
0.5693 Remote Similarity NPC202828
0.5693 Remote Similarity NPC119592
0.5672 Remote Similarity NPC4749
0.5639 Remote Similarity NPC283417
0.5639 Remote Similarity NPC200049
0.558 Remote Similarity NPC481081
0.5564 Remote Similarity NPC123199
0.5563 Remote Similarity NPC475584
0.5563 Remote Similarity NPC475152
0.5547 Remote Similarity NPC41061
0.5547 Remote Similarity NPC227551
0.5546 Remote Similarity NPC1046
0.554 Remote Similarity NPC33068
0.5533 Remote Similarity NPC475394
0.5522 Remote Similarity NPC475160
0.5522 Remote Similarity NPC473714
0.5515 Remote Similarity NPC57484
0.55 Remote Similarity NPC475208
0.5492 Remote Similarity NPC173583
0.5492 Remote Similarity NPC480424
0.5476 Remote Similarity NPC105800
0.5468 Remote Similarity NPC305981
0.5455 Remote Similarity NPC60557
0.5455 Remote Similarity NPC67857
0.5448 Remote Similarity NPC475209
0.5429 Remote Similarity NPC261506
0.5429 Remote Similarity NPC302543
0.5429 Remote Similarity NPC4328
0.5414 Remote Similarity NPC79643
0.5401 Remote Similarity NPC21691
0.5397 Remote Similarity NPC305267
0.5385 Remote Similarity NPC69811
0.5354 Remote Similarity NPC63159
0.5352 Remote Similarity NPC482010
0.5338 Remote Similarity NPC76972
0.5338 Remote Similarity NPC469782
0.5338 Remote Similarity NPC204414
0.5333 Remote Similarity NPC135904
0.5328 Remote Similarity NPC481080
0.5319 Remote Similarity NPC298034
0.5319 Remote Similarity NPC71065
0.5315 Remote Similarity NPC250247
0.5303 Remote Similarity NPC11242
0.529 Remote Similarity NPC476068
0.5274 Remote Similarity NPC485562
0.5267 Remote Similarity NPC295823
0.5267 Remote Similarity NPC174720
0.5267 Remote Similarity NPC475467
0.521 Remote Similarity NPC476113
0.5197 Remote Similarity NPC329893
0.5197 Remote Similarity NPC117714
0.5177 Remote Similarity NPC293330
0.5154 Remote Similarity NPC488515
0.5152 Remote Similarity NPC241909
0.5143 Remote Similarity NPC110633
0.5132 Remote Similarity NPC484831
0.5113 Remote Similarity NPC481078
0.5076 Remote Similarity NPC481079
0.5075 Remote Similarity NPC210729
0.5075 Remote Similarity NPC82931
0.5063 Remote Similarity NPC311178
0.5038 Remote Similarity NPC64715
0.5033 Remote Similarity NPC475177
0.5033 Remote Similarity NPC484830
0.503 Remote Similarity NPC475527

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC51748 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