Natural Product: NPC273002

Natural Product IDNPC273002
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Polianthoside E
IUPAC Name n.a.
Synonyms polianthoside E
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL526485
PubChem CID 11434838
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 IKHQZZXKLQHTRB-XALNJSHHSA-N
Standard InCHI InChI=1S/C61H100O33/c1-21(18-82-53-46(78)42(74)39(71)31(14-62)86-53)7-10-61(81)22(2)36-30(94-61)12-27-25-6-5-23-11-24(8-9-59(23,3)26(25)13-35(68)60(27,36)4)85-56-47(79)43(75)49(34(17-65)89-56)90-58-52(51(41(73)33(16-64)88-58)92-55-45(77)38(70)29(67)20-84-55)93-57-48(80)50(40(72)32(15-63)87-57)91-54-44(76)37(69)28(66)19-83-54/h21-34,36-58,62-67,69-81H,5-20H2,1-4H3/t21-,22+,23+,24+,25-,26+,27+,28-,29-,30+,31-,32-,33-,34-,36+,37+,38+,39-,40-,41-,42+,43-,44-,45-,46-,47-,48-,49+,50+,51+,52-,53-,54+,55+,56-,57+,58+,59+,60-,61-/m1/s1
SMILES C[C@H](CC[C@@]1([C@@H](C)[C@H]2[C@H](C[C@H]3[C@@H]4CC[C@H]5C[C@H](CC[C@]5(C)[C@H]4CC(=O)[C@]23C)O[C@H]2[C@@H]([C@H]([C@H]([C@@H](CO)O2)O[C@H]2[C@@H]([C@H]([C@@H]([C@@H](CO)O2)O)O[C@H]2[C@@H]([C@H]([C@@H](CO2)O)O)O)O[C@H]2[C@@H]([C@H]([C@@H]([C@@H](CO)O2)O)O[C@H]2[C@@H]([C@H]([C@@H](CO2)O)O)O)O)O)O)O1)O)CO[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1360.61 Volume:   1256.932
?
Van der Waals volume.
Dense:   1.082 LogP:   -1.317
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   -0.351
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.717
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   20.0 Rigid Bonds:   61.0
TPSA:   521.43
?
Topological Polar Surface Area.
H-Bond Acceptor:   33.0
H-Bond Donor:   19.0 Rings:   11.0
Heavy Atoms:   33.0

MedChem Properties

QED Drug-Likeness Score:   0.05 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.769 Fsp3:   0.984
MCE-18:   223.471
?
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:   0.545 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.0
?
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:   0.43 Promiscuous compounds:   0.447

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -7.405 MDCK Permeability:   -5.056
Pgp-inhibitor:   0.0 Pgp-substrate:   0.999
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):   0.967
20% Bioavailability (F20%):   0.063 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):   14.077% Volume Distribution (VD):   -0.513
Fu: 54.502%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.006
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:   0.796 CYP3A4-substrate:   0.041
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.096
HLM stability:   0.028
?
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):  -1.151 Half-life (T1/2):  4.165

ADMET: Toxicity

hERG Blockers:  0.0 hERG Blockers (10um):  0.0
Human Hepatotoxicity (H-HT):  0.694 Drug-induced Liver Injury (DILI):  0.962
AMES Toxicity:  0.994 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:  0.834 Drug-induced Nephrotoxicity:  0.998
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.349
A549 Cytotoxicity:  0.992 Hek293 Cytotoxicity:  0.885
BCF:   0.605
?
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:   3.157
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.509
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.422
?
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
NPO12929 Polianthes tuberosa Species Asparagaceae Eukaryota aerial parts n.a. n.a. PMID[11087596]
NPO12929 Polianthes tuberosa Species Asparagaceae Eukaryota underground parts n.a. n.a. PMID[12398537]
NPO12929 Polianthes tuberosa Species Asparagaceae Eukaryota fresh tubers n.a. n.a. PMID[14738376]
NPO12929 Polianthes tuberosa Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12929 Polianthes tuberosa Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO12929 Polianthes tuberosa Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12929 Polianthes tuberosa Species Asparagaceae 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
NPT165 Cell line HeLa Homo sapiens IC50 = 5.21 ug.mL-1 PMID[14738376]

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 NPC273002 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
0.9333 High Similarity NPC92297
0.8624 High Similarity NPC84111
0.8624 High Similarity NPC287483
0.8624 High Similarity NPC470865
0.8165 Intermediate Similarity NPC470863
0.7982 Intermediate Similarity NPC98018
0.7982 Intermediate Similarity NPC284104
0.7982 Intermediate Similarity NPC103616
0.7797 Intermediate Similarity NPC220836
0.7542 Intermediate Similarity NPC94086
0.7542 Intermediate Similarity NPC473817
0.7203 Intermediate Similarity NPC233433
0.7009 Intermediate Similarity NPC470861
0.6885 Remote Similarity NPC470866
0.6838 Remote Similarity NPC51520
0.6838 Remote Similarity NPC303069
0.6777 Remote Similarity NPC132080
0.6555 Remote Similarity NPC475319
0.6529 Remote Similarity NPC232037
0.6475 Remote Similarity NPC470864
0.6336 Remote Similarity NPC305771
0.6336 Remote Similarity NPC94072
0.6336 Remote Similarity NPC169816
0.6311 Remote Similarity NPC116756
0.6198 Remote Similarity NPC97700
0.6198 Remote Similarity NPC184617
0.6198 Remote Similarity NPC30856
0.6107 Remote Similarity NPC15918
0.608 Remote Similarity NPC108072
0.5969 Remote Similarity NPC262050
0.5952 Remote Similarity NPC218571
0.5952 Remote Similarity NPC487615
0.592 Remote Similarity NPC475625
0.5833 Remote Similarity NPC473505
0.582 Remote Similarity NPC92890
0.5789 Remote Similarity NPC291203
0.5789 Remote Similarity NPC217205
0.5781 Remote Similarity NPC476112
0.5781 Remote Similarity NPC307534
0.5639 Remote Similarity NPC248202
0.5574 Remote Similarity NPC475351
0.5556 Remote Similarity NPC102016
0.5556 Remote Similarity NPC95051
0.5538 Remote Similarity NPC470862
0.5462 Remote Similarity NPC92710
0.5448 Remote Similarity NPC190939
0.5396 Remote Similarity NPC263359
0.5385 Remote Similarity NPC232611
0.5379 Remote Similarity NPC256983
0.5362 Remote Similarity NPC208832
0.529 Remote Similarity NPC210569
0.5271 Remote Similarity NPC115165
0.5227 Remote Similarity NPC249265
0.5203 Remote Similarity NPC481189
0.5159 Remote Similarity NPC202898
0.5156 Remote Similarity NPC51172
0.5156 Remote Similarity NPC49032
0.5103 Remote Similarity NPC330026
0.5086 Remote Similarity NPC485600
0.5077 Remote Similarity NPC308459
0.5067 Remote Similarity NPC329727
0.5041 Remote Similarity NPC250393

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC273002 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