Natural Product: NPC88962

Natural Product IDNPC88962
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
LIGQJHJGPOMQOW-XRNZZWTLSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL466034
PubChem CID 10951900
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

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 LIGQJHJGPOMQOW-XRNZZWTLSA-N
Standard InCHI InChI=1S/C32H52O8/c1-16-5-10-32(38-14-16)17(2)26-25(40-32)13-21-19-12-24(39-29-28(36)27(35)23(34)15-37-29)22-11-18(33)6-8-30(22,3)20(19)7-9-31(21,26)4/h16-29,33-36H,5-15H2,1-4H3/t16-,17+,18+,19-,20+,21+,22-,23-,24+,25+,26+,27+,28-,29+,30-,31+,32-/m1/s1
SMILES O[C@H]1CC[C@]2([C@H](C1)[C@@H](O[C@@H]1OC[C@H]([C@@H]([C@H]1O)O)O)C[C@@H]1[C@@H]2CC[C@]2([C@H]1C[C@H]1[C@@H]2[C@H](C)[C@]2(O1)CC[C@H](CO2)C)C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   564.37 Volume:   572.455
?
Van der Waals volume.
Dense:   0.986 LogP:   3.66
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.807
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.856
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   36.0
TPSA:   117.84
?
Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   4.0 Rings:   7.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.378 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.868 Fsp3:   1.0
MCE-18:   170.5
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.789 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.07
?
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:   0.182 Promiscuous compounds:   0.024

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.458 MDCK Permeability:   -5.095
Pgp-inhibitor:   0.042 Pgp-substrate:   0.67
PAMPA:   0.873
?
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):   0.0
20% Bioavailability (F20%):   0.08 30% Bioavailability (F30%):   0.157
50% Bioavailability (F50%):   0.98

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.015 MRP1:   0.072
Plasma Protein Binding (PPB):   60.764% Volume Distribution (VD):   -0.412
Fu: 36.101%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.831
BSEP inhibitor:   0.966

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:   0.021
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.993
HLM stability:   0.155
?
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):  4.991 Half-life (T1/2):  2.262

ADMET: Toxicity

hERG Blockers:  0.091 hERG Blockers (10um):  0.172
Human Hepatotoxicity (H-HT):  0.57 Drug-induced Liver Injury (DILI):  0.736
AMES Toxicity:  0.498 Rat Oral Acute Toxicity:  0.048
Maximum Recommended Daily Dose:  0.443 Skin Sensitization:  1.0
Carcinogencity:  0.352 Eye Corrosion:  0.007
Eye Irritation:  0.304 Respiratory Toxicity:  0.059
Drug-induced Neurotoxicity:  0.007 Ototoxicity:  0.914
Hematotoxicity:  0.063 Drug-induced Nephrotoxicity:  0.742
Genotoxicity:  0.002 RPMI-8226 Immunitoxicity:  0.147
A549 Cytotoxicity:  0.436 Hek293 Cytotoxicity:  0.741
BCF:   1.8
?
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:   3.458
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.6
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.103
?
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
NPO21208 Solanum chrysotrichum Species Solanaceae Eukaryota Leaves n.a. n.a. PMID[12502320]
NPO4703 Solanum hispidum Species Solanaceae Eukaryota leaves n.a. n.a. PMID[15217270]
NPO40931 Solanum macaonense Species Solanaceae Eukaryota n.a. n.a. n.a. PMID[25036668]
NPO21208 Solanum chrysotrichum Species Solanaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4703 Solanum hispidum Species Solanaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO21208 Solanum chrysotrichum Species Solanaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4703 Solanum hispidum Species Solanaceae 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
NPT21 Organism Aspergillus niger Aspergillus niger MIC > 400.0 ug.mL-1 Open TG-GATES in vivo data: Biochemistry
NPT330 Organism Trichophyton mentagrophytes Trichophyton mentagrophytes MIC = 100.0 ug.mL-1 PMID[9461658]
NPT329 Organism Trichophyton rubrum Trichophyton rubrum MIC = 100.0 ug.mL-1 PubChem BioAssay data set
NPT20 Organism Candida albicans Candida albicans MIC = 200.0 ug.mL-1 DOI[10.6019/CHEMBL1201861]
NPT2 Others Unspecified n.a. IC50 = 7600.0 nM PMID[25746815]
NPT2 Others Unspecified n.a. IC50 = 4400.0 nM Open TG-GATES in vivo data: Biochemistry

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 NPC88962 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
0.88 High Similarity NPC485591
0.8571 High Similarity NPC312678
0.8571 High Similarity NPC253268
0.8082 Intermediate Similarity NPC144790
0.8082 Intermediate Similarity NPC149400
0.7973 Intermediate Similarity NPC277715
0.7195 Intermediate Similarity NPC131693
0.7195 Intermediate Similarity NPC475436
0.7159 Intermediate Similarity NPC485605
0.7 Intermediate Similarity NPC485603
0.6875 Remote Similarity NPC481418
0.6782 Remote Similarity NPC485590
0.6744 Remote Similarity NPC291547
0.6744 Remote Similarity NPC485593
0.6744 Remote Similarity NPC174024
0.6528 Remote Similarity NPC296734
0.6389 Remote Similarity NPC248944
0.6389 Remote Similarity NPC7479
0.6389 Remote Similarity NPC257296
0.6047 Remote Similarity NPC485594
0.5909 Remote Similarity NPC177834
0.5889 Remote Similarity NPC250393
0.5795 Remote Similarity NPC481423
0.5699 Remote Similarity NPC264101
0.5667 Remote Similarity NPC179859
0.5667 Remote Similarity NPC473851
0.56 Remote Similarity NPC485604
0.5517 Remote Similarity NPC473774
0.5517 Remote Similarity NPC481419
0.5517 Remote Similarity NPC481417
0.5464 Remote Similarity NPC485599
0.5455 Remote Similarity NPC273290
0.5455 Remote Similarity NPC232044
0.5455 Remote Similarity NPC24960
0.5443 Remote Similarity NPC305808
0.5408 Remote Similarity NPC475351
0.5385 Remote Similarity NPC13190
0.5354 Remote Similarity NPC473601
0.5325 Remote Similarity NPC227260
0.525 Remote Similarity NPC481427
0.5244 Remote Similarity NPC235126
0.5244 Remote Similarity NPC242419
0.5243 Remote Similarity NPC294129
0.5238 Remote Similarity NPC473518
0.52 Remote Similarity NPC485596
0.5196 Remote Similarity NPC471464
0.5169 Remote Similarity NPC481420
0.5169 Remote Similarity NPC481421
0.5146 Remote Similarity NPC128572
0.5109 Remote Similarity NPC181845
0.51 Remote Similarity NPC485597
0.5096 Remote Similarity NPC97700
0.5096 Remote Similarity NPC30856
0.5094 Remote Similarity NPC475333
0.5094 Remote Similarity NPC224098
0.5094 Remote Similarity NPC208383
0.5093 Remote Similarity NPC476112
0.5093 Remote Similarity NPC307534
0.506 Remote Similarity NPC161035
0.506 Remote Similarity NPC170438
0.5051 Remote Similarity NPC70204
0.5048 Remote Similarity NPC115165

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC88962 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
0.6389 Remote Similarity NPD6928 Phase 2

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