Natural Product: NPC485590

Natural Product IDNPC485590
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
ZPMQNRSURRXIQT-PDQSPLBFSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 101913839
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 ZPMQNRSURRXIQT-PDQSPLBFSA-N
Standard InCHI InChI=1S/C38H60O12/c1-17-6-11-38(46-15-17)18(2)28-27(50-38)14-23-21-13-26(24-12-20(39)7-9-36(24,4)22(21)8-10-37(23,28)5)48-35-32(44)33(29(41)19(3)47-35)49-34-31(43)30(42)25(40)16-45-34/h17-19,21-35,40-44H,6-16H2,1-5H3/t17-,18+,19-,21-,22+,23+,24-,25-,26+,27+,28+,29-,30+,31-,32-,33+,34+,35+,36-,37+,38-/m1/s1
SMILES C[C@@H]1CC[C@@]2([C@@H](C)[C@H]3[C@H](C[C@H]4[C@@H]5C[C@@H]([C@H]6CC(=O)CC[C@]6(C)[C@H]5CC[C@]34C)O[C@H]3[C@@H]([C@H]([C@@H]([C@@H](C)O3)O)O[C@H]3[C@@H]([C@H]([C@@H](CO3)O)O)O)O)O2)OC1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   708.41 Volume:   700.198
?
Van der Waals volume.
Dense:   1.012 LogP:   2.868
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.337
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.64
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   43.0
TPSA:   173.6
?
Topological Polar Surface Area.
H-Bond Acceptor:   12.0
H-Bond Donor:   5.0 Rings:   8.0
Heavy Atoms:   12.0

MedChem Properties

QED Drug-Likeness Score:   0.27 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.31 Fsp3:   0.974
MCE-18:   200.373
?
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:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.83 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.009
?
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:   0.15 Promiscuous compounds:   0.1

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.597 MDCK Permeability:   -5.018
Pgp-inhibitor:   0.007 Pgp-substrate:   0.208
PAMPA:   0.979
?
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%):   0.008 30% Bioavailability (F30%):   0.153
50% Bioavailability (F50%):   0.977

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.059 MRP1:   0.012
Plasma Protein Binding (PPB):   60.249% Volume Distribution (VD):   -0.422
Fu: 39.888%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.921
BSEP inhibitor:   0.873

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.296
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.001
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.89
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.981
?
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):  1.464 Half-life (T1/2):  2.864

ADMET: Toxicity

hERG Blockers:  0.097 hERG Blockers (10um):  0.185
Human Hepatotoxicity (H-HT):  0.528 Drug-induced Liver Injury (DILI):  0.898
AMES Toxicity:  0.681 Rat Oral Acute Toxicity:  0.038
Maximum Recommended Daily Dose:  0.188 Skin Sensitization:  1.0
Carcinogencity:  0.125 Eye Corrosion:  0.0
Eye Irritation:  0.006 Respiratory Toxicity:  0.011
Drug-induced Neurotoxicity:  0.009 Ototoxicity:  0.984
Hematotoxicity:  0.138 Drug-induced Nephrotoxicity:  0.78
Genotoxicity:  0.008 RPMI-8226 Immunitoxicity:  0.247
A549 Cytotoxicity:  0.459 Hek293 Cytotoxicity:  0.851
BCF:   1.039
?
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:   3.253
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.496
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.843
?
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
NPO40931 Solanum macaonense Species Solanaceae Eukaryota n.a. n.a. n.a. PMID[25036668]

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
NPT2 Others Unspecified n.a. IC50 > 10000.0 nM PMID[25036668]
NPT2 Others Unspecified n.a. IC50 = 3200.0 nM PMID[25036668]
NPT27 Others Unspecified n.a. Inhibition > 90.0 % PMID[25036668]

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 NPC485590 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
0.828 Intermediate Similarity NPC485604
0.8046 Intermediate Similarity NPC312678
0.8046 Intermediate Similarity NPC253268
0.6848 Remote Similarity NPC131693
0.6848 Remote Similarity NPC485591
0.6848 Remote Similarity NPC475436
0.6782 Remote Similarity NPC88962
0.67 Remote Similarity NPC485603
0.6458 Remote Similarity NPC291547
0.6458 Remote Similarity NPC485593
0.6458 Remote Similarity NPC174024
0.587 Remote Similarity NPC144790
0.587 Remote Similarity NPC149400
0.5714 Remote Similarity NPC485605
0.5684 Remote Similarity NPC481418
0.551 Remote Similarity NPC485594
0.55 Remote Similarity NPC179859
0.55 Remote Similarity NPC473851
0.5474 Remote Similarity NPC277715
0.5327 Remote Similarity NPC485599
0.5263 Remote Similarity NPC475625
0.5259 Remote Similarity NPC476112
0.5259 Remote Similarity NPC307534
0.525 Remote Similarity NPC480556
0.5248 Remote Similarity NPC177834
0.5233 Remote Similarity NPC24556
0.5217 Remote Similarity NPC232037
0.5196 Remote Similarity NPC234352
0.5185 Remote Similarity NPC14704
0.5096 Remote Similarity NPC250393
0.5091 Remote Similarity NPC485596
0.5085 Remote Similarity NPC132080
0.5045 Remote Similarity NPC485598

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC485590 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