Natural Product: NPC485596

Natural Product IDNPC485596
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
XWJMDDSYQJISEQ-YWECDFSISA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 118712557
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 XWJMDDSYQJISEQ-YWECDFSISA-N
Standard InCHI InChI=1S/C44H72O17/c1-18(16-55-40-37(53)35(51)34(50)30(15-45)60-40)6-7-27-19(2)31-29(58-27)14-24-22-13-28(25-12-21(46)8-10-43(25,4)23(22)9-11-44(24,31)5)59-42-38(54)39(32(48)20(3)57-42)61-41-36(52)33(49)26(47)17-56-41/h18,20-26,28-42,45-54H,6-17H2,1-5H3/t18-,20-,21+,22-,23+,24+,25-,26-,28+,29+,30-,31+,32-,33+,34-,35+,36-,37-,38-,39+,40-,41+,42+,43-,44+/m1/s1
SMILES C[C@H](CCC1=C(C)[C@H]2[C@H](C[C@H]3[C@@H]4C[C@@H]([C@H]5C[C@H](CC[C@]5(C)[C@H]4CC[C@]23C)O)O[C@H]2[C@@H]([C@H]([C@@H]([C@@H](C)O2)O)O[C@H]2[C@@H]([C@H]([C@@H](CO2)O)O)O)O)O1)CO[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   872.48 Volume:   847.926
?
Van der Waals volume.
Dense:   1.029 LogP:   2.305
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.946
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.523
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The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   42.0
TPSA:   266.91
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Topological Polar Surface Area.
H-Bond Acceptor:   17.0
H-Bond Donor:   10.0 Rings:   8.0
Heavy Atoms:   17.0

MedChem Properties

QED Drug-Likeness Score:   0.121 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.325 Fsp3:   0.955
MCE-18:   150.93
?
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:   0.649 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:   0.193 Promiscuous compounds:   0.138

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.179 MDCK Permeability:   -5.185
Pgp-inhibitor:   0.0 Pgp-substrate:   0.947
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):   0.005
20% Bioavailability (F20%):   0.013 30% Bioavailability (F30%):   0.937
50% Bioavailability (F50%):   0.993

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.007
Plasma Protein Binding (PPB):   48.736% Volume Distribution (VD):   -0.472
Fu: 42.18%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.057
BSEP inhibitor:   0.008

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:   0.114
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   0.99
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.968
HLM stability:   0.366
?
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):  0.214 Half-life (T1/2):  3.629

ADMET: Toxicity

hERG Blockers:  0.009 hERG Blockers (10um):  0.014
Human Hepatotoxicity (H-HT):  0.64 Drug-induced Liver Injury (DILI):  0.66
AMES Toxicity:  0.797 Rat Oral Acute Toxicity:  0.001
Maximum Recommended Daily Dose:  0.004 Skin Sensitization:  1.0
Carcinogencity:  0.041 Eye Corrosion:  0.0
Eye Irritation:  0.001 Respiratory Toxicity:  0.001
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.999
Hematotoxicity:  0.265 Drug-induced Nephrotoxicity:  0.937
Genotoxicity:  0.001 RPMI-8226 Immunitoxicity:  0.104
A549 Cytotoxicity:  0.58 Hek293 Cytotoxicity:  0.331
BCF:   1.262
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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:   3.408
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.735
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.916
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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
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]

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 NPC485596 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
0.8404 Intermediate Similarity NPC485598
0.7629 Intermediate Similarity NPC485597
0.7347 Intermediate Similarity NPC485599
0.7129 Intermediate Similarity NPC485603
0.63 Remote Similarity NPC312678
0.63 Remote Similarity NPC253268
0.6132 Remote Similarity NPC485605
0.6078 Remote Similarity NPC291547
0.6078 Remote Similarity NPC485593
0.6078 Remote Similarity NPC174024
0.5856 Remote Similarity NPC485604
0.5691 Remote Similarity NPC208832
0.5631 Remote Similarity NPC131693
0.5631 Remote Similarity NPC475436
0.5481 Remote Similarity NPC179859
0.5481 Remote Similarity NPC473851
0.5472 Remote Similarity NPC128123
0.5424 Remote Similarity NPC92710
0.5372 Remote Similarity NPC475357
0.5333 Remote Similarity NPC485591
0.52 Remote Similarity NPC88962
0.5149 Remote Similarity NPC277715
0.5091 Remote Similarity NPC485590

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC485596 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