Natural Product: NPC169816

Natural Product IDNPC169816
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
PEDAHPLWZVSSRQ-SNKCHRKVSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL500245
PubChem CID 11136994
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 PEDAHPLWZVSSRQ-SNKCHRKVSA-N
Standard InCHI InChI=1S/C56H88O28/c1-20-7-10-56(74-18-20)21(2)34-28(84-56)12-26-24-6-5-22-11-23(8-9-54(22,3)25(24)13-33(62)55(26,34)4)75-50-43(71)40(68)45(32(17-60)79-50)80-53-48(47(38(66)31(16-59)78-53)82-49-41(69)35(63)27(61)19-73-49)83-52-44(72)46(37(65)30(15-58)77-52)81-51-42(70)39(67)36(64)29(14-57)76-51/h5,20-21,23-32,34-53,57-61,63-72H,6-19H2,1-4H3/t20-,21+,23+,24-,25+,26+,27-,28+,29-,30-,31-,32-,34+,35+,36-,37-,38-,39+,40-,41-,42-,43-,44-,45+,46+,47+,48-,49+,50-,51+,52+,53+,54+,55-,56-/m1/s1
SMILES C[C@@H]1CC[C@@]2([C@@H](C)[C@H]3[C@H](C[C@H]4[C@@H]5CC=C6C[C@H](CC[C@]6(C)[C@H]5CC(=O)[C@]34C)O[C@H]3[C@@H]([C@H]([C@H]([C@@H](CO)O3)O[C@H]3[C@@H]([C@H]([C@@H]([C@@H](CO)O3)O)O[C@H]3[C@@H]([C@H]([C@@H](CO3)O)O)O)O[C@H]3[C@@H]([C@H]([C@@H]([C@@H](CO)O3)O)O[C@H]3[C@@H]([C@H]([C@@H]([C@@H](CO)O3)O)O)O)O)O)O)O2)OC1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1208.55 Volume:   1123.864
?
Van der Waals volume.
Dense:   1.075 LogP:   -0.365
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.555
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.92
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   14.0 Rigid Bonds:   61.0
TPSA:   431.28
?
Topological Polar Surface Area.
H-Bond Acceptor:   28.0
H-Bond Donor:   15.0 Rings:   11.0
Heavy Atoms:   28.0

MedChem Properties

QED Drug-Likeness Score:   0.072 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.718 Fsp3:   0.946
MCE-18:   290.752
?
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:   0.588 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.001
?
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:   0.368 Promiscuous compounds:   0.146

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -7.092 MDCK Permeability:   -5.019
Pgp-inhibitor:   0.0 Pgp-substrate:   0.955
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):   0.117
20% Bioavailability (F20%):   0.021 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.001
Plasma Protein Binding (PPB):   30.95% Volume Distribution (VD):   -0.52
Fu: 56.134%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.067
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:   0.001
CYP3A4-inhibitor:   0.26 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.938
HLM stability:   0.017
?
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):  -0.581 Half-life (T1/2):  3.687

ADMET: Toxicity

hERG Blockers:  0.001 hERG Blockers (10um):  0.001
Human Hepatotoxicity (H-HT):  0.577 Drug-induced Liver Injury (DILI):  0.997
AMES Toxicity:  0.997 Rat Oral Acute Toxicity:  0.0
Maximum Recommended Daily Dose:  0.0 Skin Sensitization:  1.0
Carcinogencity:  0.022 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.671 Drug-induced Nephrotoxicity:  0.984
Genotoxicity:  0.003 RPMI-8226 Immunitoxicity:  0.544
A549 Cytotoxicity:  0.995 Hek293 Cytotoxicity:  0.948
BCF:   0.594
?
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:   3.135
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.48
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.512
?
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
NPT116 Cell line HL-60 Homo sapiens IC50 = 5.9 ug.mL-1 PMID[12617583]
NPT924 Cell line HSC-2 Homo sapiens IC50 = 1.5 ug.mL-1 PMID[12617583]

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 NPC169816 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
1.0 High Similarity NPC305771
1.0 High Similarity NPC94072
0.9725 High Similarity NPC15918
0.8136 Intermediate Similarity NPC220836
0.7881 Intermediate Similarity NPC94086
0.7881 Intermediate Similarity NPC473817
0.7623 Intermediate Similarity NPC210569
0.7542 Intermediate Similarity NPC233433
0.7368 Intermediate Similarity NPC249553
0.725 Intermediate Similarity NPC477811
0.7177 Intermediate Similarity NPC473505
0.7107 Intermediate Similarity NPC132080
0.7049 Intermediate Similarity NPC31896
0.7031 Intermediate Similarity NPC263359
0.6891 Remote Similarity NPC475319
0.686 Remote Similarity NPC232037
0.6797 Remote Similarity NPC79900
0.678 Remote Similarity NPC182900
0.6769 Remote Similarity NPC244431
0.6748 Remote Similarity NPC476112
0.6748 Remote Similarity NPC307534
0.6693 Remote Similarity NPC480556
0.6535 Remote Similarity NPC470866
0.6529 Remote Similarity NPC97700
0.6529 Remote Similarity NPC184617
0.6529 Remote Similarity NPC30856
0.65 Remote Similarity NPC300557
0.6489 Remote Similarity NPC32707
0.6462 Remote Similarity NPC477808
0.6417 Remote Similarity NPC477809
0.6385 Remote Similarity NPC477807
0.6336 Remote Similarity NPC273002
0.6333 Remote Similarity NPC602423
0.6299 Remote Similarity NPC480553
0.627 Remote Similarity NPC108072
0.6231 Remote Similarity NPC190939
0.6218 Remote Similarity NPC14704
0.6183 Remote Similarity NPC248202
0.6172 Remote Similarity NPC256983
0.6142 Remote Similarity NPC480554
0.6142 Remote Similarity NPC470864
0.6111 Remote Similarity NPC475625
0.6111 Remote Similarity NPC309278
0.605 Remote Similarity NPC470432
0.605 Remote Similarity NPC230507
0.6016 Remote Similarity NPC92890
0.6 Remote Similarity NPC308459
0.5984 Remote Similarity NPC475333
0.5984 Remote Similarity NPC224098
0.5984 Remote Similarity NPC116756
0.5984 Remote Similarity NPC208383
0.5968 Remote Similarity NPC6806
0.5954 Remote Similarity NPC167183
0.5952 Remote Similarity NPC115165
0.5902 Remote Similarity NPC475351
0.5882 Remote Similarity NPC208832
0.5859 Remote Similarity NPC473518
0.5826 Remote Similarity NPC181845
0.5816 Remote Similarity NPC330026
0.5802 Remote Similarity NPC92297
0.5726 Remote Similarity NPC161738
0.5714 Remote Similarity NPC232054
0.5692 Remote Similarity NPC197003
0.5669 Remote Similarity NPC480555
0.5669 Remote Similarity NPC150372
0.5662 Remote Similarity NPC224314
0.5606 Remote Similarity NPC470862
0.5578 Remote Similarity NPC481189
0.5564 Remote Similarity NPC84111
0.5564 Remote Similarity NPC287483
0.5564 Remote Similarity NPC470865
0.5538 Remote Similarity NPC475550
0.553 Remote Similarity NPC218571
0.553 Remote Similarity NPC487615
0.5524 Remote Similarity NPC481190
0.5476 Remote Similarity NPC473601
0.5476 Remote Similarity NPC202898
0.5455 Remote Similarity NPC232611
0.544 Remote Similarity NPC113044
0.544 Remote Similarity NPC283829
0.544 Remote Similarity NPC161676
0.5436 Remote Similarity NPC329727
0.5433 Remote Similarity NPC470433
0.5433 Remote Similarity NPC46190
0.5433 Remote Similarity NPC171073
0.542 Remote Similarity NPC269297
0.542 Remote Similarity NPC222202
0.5374 Remote Similarity NPC329807
0.5373 Remote Similarity NPC83137
0.5372 Remote Similarity NPC250393
0.5349 Remote Similarity NPC51172
0.5349 Remote Similarity NPC49032
0.5338 Remote Similarity NPC194207
0.5338 Remote Similarity NPC22779
0.5328 Remote Similarity NPC206003
0.5328 Remote Similarity NPC473610
0.5323 Remote Similarity NPC215408
0.5234 Remote Similarity NPC42482
0.5217 Remote Similarity NPC470867
0.5207 Remote Similarity NPC234352
0.5188 Remote Similarity NPC470863
0.5152 Remote Similarity NPC102016
0.5152 Remote Similarity NPC95051
0.5124 Remote Similarity NPC325828
0.5099 Remote Similarity NPC329820
0.5079 Remote Similarity NPC107962
0.5038 Remote Similarity NPC248746
0.5038 Remote Similarity NPC98018
0.5038 Remote Similarity NPC284104
0.5038 Remote Similarity NPC103616
0.5037 Remote Similarity NPC13193

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC169816 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
0.5124 Remote Similarity NPD8171 Phase 2
0.5039 Remote Similarity NPD8170 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