Natural Product: NPC472269

Natural Product IDNPC472269
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
JZWICBROGGTPEB-BVTFHXJVSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3357151
PubChem CID n.a.
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 JZWICBROGGTPEB-BVTFHXJVSA-N
Standard InCHI InChI=1S/C88H138O38/c1-14-83(9,109)24-16-18-40(3)71(106)111-38-50-58(98)68(121-72(107)42(33-89)19-17-25-84(10,110)15-2)70(125-76-64(104)60(100)66(41(4)117-76)122-75-65(105)67(48(93)37-114-75)123-73-61(101)54(94)45(90)34-112-73)79(119-50)126-80(108)88-30-28-81(5,6)32-44(88)43-20-21-52-85(11)26-23-53(82(7,8)51(85)22-27-87(52,13)86(43,12)29-31-88)120-77-63(103)59(99)57(97)49(118-77)39-116-78-69(56(96)47(92)36-115-78)124-74-62(102)55(95)46(91)35-113-74/h14-15,18-20,41,44-70,73-79,89-105,109-110H,1-2,16-17,21-39H2,3-13H3/b40-18+,42-19-/t41-,44-,45+,46+,47-,48+,49+,50+,51-,52+,53-,54-,55-,56-,57+,58+,59-,60-,61+,62+,63+,64+,65+,66-,67-,68-,69+,70+,73-,74-,75-,76-,77-,78-,79-,83+,84?,85-,86+,87+,88-/m0/s1
SMILES OC/C(=C/CCC(C=C)(O)C)/C(=O)O[C@@H]1[C@@H](O[C@@H]2O[C@@H](C)[C@@H]([C@H]([C@H]2O)O)O[C@@H]2OC[C@H]([C@@H]([C@H]2O)O[C@@H]2OC[C@H]([C@@H]([C@H]2O)O)O)O)[C@@H](O[C@@H]([C@H]1O)COC(=O)/C(=C/CC[C@@](C=C)(O)C)/C)OC(=O)[C@@]12CCC(C[C@H]2C2=CC[C@H]3[C@@]([C@@]2(CC1)C)(C)CC[C@@H]1[C@]3(C)CC[C@@H](C1(C)C)O[C@@H]1O[C@H](CO[C@@H]2OC[C@@H]([C@@H]([C@H]2O[C@@H]2OC[C@H]([C@@H]([C@H]2O)O)O)O)O)[C@H]([C@@H]([C@H]1O)O)O)(C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1802.89 Volume:   1740.863
?
Van der Waals volume.
Dense:   1.036 LogP:   1.31
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.838
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.71
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   32.0 Rigid Bonds:   75.0
TPSA:   583.26
?
Topological Polar Surface Area.
H-Bond Acceptor:   38.0
H-Bond Donor:   19.0 Rings:   12.0
Heavy Atoms:   38.0

MedChem Properties

QED Drug-Likeness Score:   0.013 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   8.161 Fsp3:   0.852
MCE-18:   270.16
?
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:   0.876 Fluc inhibitor:   0.003
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.0
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.008
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.37 Promiscuous compounds:   0.591

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.354 MDCK Permeability:   -5.104
Pgp-inhibitor:   0.0 Pgp-substrate:   0.858
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):   0.12
20% Bioavailability (F20%):   0.988 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.0
Plasma Protein Binding (PPB):   54.473% Volume Distribution (VD):   -0.395
Fu: 19.134%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.003
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:   0.005
CYP3A4-inhibitor:   0.001 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.997
HLM stability:   0.086
?
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):  -1.234 Half-life (T1/2):  4.133

ADMET: Toxicity

hERG Blockers:  0.0 hERG Blockers (10um):  0.001
Human Hepatotoxicity (H-HT):  0.382 Drug-induced Liver Injury (DILI):  0.113
AMES Toxicity:  0.903 Rat Oral Acute Toxicity:  0.0
Maximum Recommended Daily Dose:  0.0 Skin Sensitization:  1.0
Carcinogencity:  0.002 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.17 Drug-induced Nephrotoxicity:  0.999
Genotoxicity:  0.005 RPMI-8226 Immunitoxicity:  0.424
A549 Cytotoxicity:  0.877 Hek293 Cytotoxicity:  0.605
BCF:   0.057
?
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:   3.735
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.146
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.751
?
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
NPO20608 Gleditsia sinensis Species Fabaceae Eukaryota anomalous fruits n.a. n.a. PMID[25442304]
NPO20608 Gleditsia sinensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20608 Gleditsia sinensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO20608 Gleditsia sinensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO20608 Gleditsia sinensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO20608 Gleditsia sinensis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO20608 Gleditsia sinensis Species Fabaceae 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
NPT380 Cell line U-251 Homo sapiens Activity = 9.84 % PMID[25442304]
NPT76 Cell line C6 Rattus norvegicus Activity = 10.25 % DrugMatrix in vivo data: Hematology
NPT380 Cell line U-251 Homo sapiens IC50 = 15180.0 nM PMID[25442304]
NPT76 Cell line C6 Rattus norvegicus IC50 = 13630.0 nM DOI[10.6019/CHEMBL1201861]

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 NPC472269 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
0.8841 High Similarity NPC472268
0.8768 High Similarity NPC297950
0.7895 Intermediate Similarity NPC472270
0.7895 Intermediate Similarity NPC112492
0.7355 Intermediate Similarity NPC23020
0.7324 Intermediate Similarity NPC70809
0.7273 Intermediate Similarity NPC224381
0.6621 Remote Similarity NPC13998
0.66 Remote Similarity NPC102505
0.66 Remote Similarity NPC488514
0.6405 Remote Similarity NPC480422
0.6301 Remote Similarity NPC488560
0.6259 Remote Similarity NPC85154
0.6225 Remote Similarity NPC309223
0.6194 Remote Similarity NPC8524
0.6159 Remote Similarity NPC236638
0.6159 Remote Similarity NPC294453
0.6154 Remote Similarity NPC33012
0.6053 Remote Similarity NPC481081
0.5977 Remote Similarity NPC488200
0.5921 Remote Similarity NPC41061
0.5921 Remote Similarity NPC227551
0.5906 Remote Similarity NPC475160
0.5906 Remote Similarity NPC473714
0.5897 Remote Similarity NPC250247
0.5894 Remote Similarity NPC57484
0.5844 Remote Similarity NPC305981
0.5839 Remote Similarity NPC123199
0.5829 Remote Similarity NPC488203
0.5828 Remote Similarity NPC481080
0.5819 Remote Similarity NPC475527
0.5806 Remote Similarity NPC261506
0.5806 Remote Similarity NPC4328
0.5789 Remote Similarity NPC476068
0.5743 Remote Similarity NPC60557
0.5743 Remote Similarity NPC67857
0.5742 Remote Similarity NPC202828
0.5742 Remote Similarity NPC119592
0.5706 Remote Similarity NPC488204
0.5705 Remote Similarity NPC79643
0.5697 Remote Similarity NPC484830
0.5685 Remote Similarity NPC295823
0.5685 Remote Similarity NPC174720
0.5685 Remote Similarity NPC475467
0.5646 Remote Similarity NPC104137
0.5646 Remote Similarity NPC26626
0.5629 Remote Similarity NPC135904
0.5629 Remote Similarity NPC480419
0.5618 Remote Similarity NPC488202
0.5577 Remote Similarity NPC43550
0.5562 Remote Similarity NPC475599
0.5556 Remote Similarity NPC63159
0.5548 Remote Similarity NPC480418
0.5541 Remote Similarity NPC481078
0.551 Remote Similarity NPC481079
0.55 Remote Similarity NPC488201
0.5466 Remote Similarity NPC480417
0.5461 Remote Similarity NPC173583
0.5449 Remote Similarity NPC286457
0.5434 Remote Similarity NPC485563
0.543 Remote Similarity NPC475287
0.5422 Remote Similarity NPC475177
0.5409 Remote Similarity NPC298034
0.5409 Remote Similarity NPC71065
0.5393 Remote Similarity NPC322904
0.539 Remote Similarity NPC475516
0.538 Remote Similarity NPC293330
0.5379 Remote Similarity NPC488526
0.5371 Remote Similarity NPC475444
0.5371 Remote Similarity NPC473679
0.5361 Remote Similarity NPC475368
0.5357 Remote Similarity NPC475345
0.535 Remote Similarity NPC110633
0.5342 Remote Similarity NPC220160
0.5329 Remote Similarity NPC76972
0.5329 Remote Similarity NPC469782
0.5329 Remote Similarity NPC204414
0.5322 Remote Similarity NPC45606
0.5294 Remote Similarity NPC187497
0.5287 Remote Similarity NPC473386
0.5267 Remote Similarity NPC241909
0.526 Remote Similarity NPC475584
0.526 Remote Similarity NPC475152
0.5256 Remote Similarity NPC471577
0.5241 Remote Similarity NPC480421
0.522 Remote Similarity NPC475514
0.5217 Remote Similarity NPC144644
0.5217 Remote Similarity NPC37860
0.5217 Remote Similarity NPC170407
0.5206 Remote Similarity NPC475649
0.5193 Remote Similarity NPC324933
0.5188 Remote Similarity NPC65105
0.5183 Remote Similarity NPC68767
0.5183 Remote Similarity NPC293031
0.5169 Remote Similarity NPC469776
0.5161 Remote Similarity NPC174336
0.5161 Remote Similarity NPC165204
0.5155 Remote Similarity NPC136768
0.5148 Remote Similarity NPC489208
0.5141 Remote Similarity NPC48499
0.5132 Remote Similarity NPC187290
0.5115 Remote Similarity NPC220838
0.5096 Remote Similarity NPC100639
0.5085 Remote Similarity NPC311178
0.5085 Remote Similarity NPC478559
0.5085 Remote Similarity NPC478560
0.508 Remote Similarity NPC488513
0.5068 Remote Similarity NPC232237
0.5068 Remote Similarity NPC469946
0.5062 Remote Similarity NPC473452
0.5055 Remote Similarity NPC481323
0.5054 Remote Similarity NPC481324
0.5053 Remote Similarity NPC476113
0.5034 Remote Similarity NPC112352
0.5032 Remote Similarity NPC155410
0.5031 Remote Similarity NPC471580
0.5031 Remote Similarity NPC470876
0.5031 Remote Similarity NPC258617
0.5029 Remote Similarity NPC329893

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC472269 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