Natural Product: NPC257342

Natural Product IDNPC257342
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
KXZAVYDASQTYIN-CTEMQYTLSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
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 KXZAVYDASQTYIN-CTEMQYTLSA-N
Standard InCHI InChI=1S/C43H70O16/c1-19-7-12-43(54-16-19)20(2)30-28(59-43)14-25-23-6-5-21-13-22(8-10-41(21,3)24(23)9-11-42(25,30)4)55-40-35(51)37(58-39-34(50)32(48)27(46)18-53-39)36(29(15-44)56-40)57-38-33(49)31(47)26(45)17-52-38/h19-40,44-51H,5-18H2,1-4H3/t19-,20-,21-,22-,23+,24-,25-,26+,27+,28-,29+,30-,31-,32-,33+,34+,35+,36-,37+,38-,39-,40+,41-,42-,43+/m0/s1
SMILES C[C@H]1CC[C@@]2([C@@H](C)[C@H]3[C@H](C[C@H]4[C@@H]5CC[C@H]6C[C@H](CC[C@]6(C)[C@H]5CC[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](CO3)O)O)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:   842.47 Volume:   815.919
?
Van der Waals volume.
Dense:   1.033 LogP:   2.616
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.08
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.118
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   48.0
TPSA:   235.68
?
Topological Polar Surface Area.
H-Bond Acceptor:   16.0
H-Bond Donor:   8.0 Rings:   9.0
Heavy Atoms:   16.0

MedChem Properties

QED Drug-Likeness Score:   0.164 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.613 Fsp3:   1.0
MCE-18:   225.256
?
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:   0.724 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.024
?
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:   0.237 Promiscuous compounds:   0.044

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.94 MDCK Permeability:   -5.053
Pgp-inhibitor:   0.0 Pgp-substrate:   0.906
PAMPA:   0.999
?
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%):   0.139 30% Bioavailability (F30%):   0.907
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.042
Plasma Protein Binding (PPB):   53.204% Volume Distribution (VD):   -0.428
Fu: 35.876%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.341
BSEP inhibitor:   0.302

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.002 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.222
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.003
HLM stability:   0.065
?
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):  0.442 Half-life (T1/2):  2.282

ADMET: Toxicity

hERG Blockers:  0.024 hERG Blockers (10um):  0.039
Human Hepatotoxicity (H-HT):  0.579 Drug-induced Liver Injury (DILI):  0.929
AMES Toxicity:  0.875 Rat Oral Acute Toxicity:  0.003
Maximum Recommended Daily Dose:  0.07 Skin Sensitization:  1.0
Carcinogencity:  0.098 Eye Corrosion:  0.0
Eye Irritation:  0.009 Respiratory Toxicity:  0.002
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.997
Hematotoxicity:  0.445 Drug-induced Nephrotoxicity:  0.858
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.195
A549 Cytotoxicity:  0.832 Hek293 Cytotoxicity:  0.893
BCF:   1.94
?
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:   3.609
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.786
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.21
?
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
NPO1894 Amyris texana Species Rutaceae Eukaryota Leaves n.a. n.a. PMID[20695429]
NPO4702 Trichosanthes rosthornii Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5637 Globularia davisiana Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3788 Bunias orientalis Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4702 Trichosanthes rosthornii Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO4702 Trichosanthes rosthornii Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO5637 Globularia davisiana Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO4702 Trichosanthes rosthornii Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO4702 Trichosanthes rosthornii Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO1894 Amyris texana Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3788 Bunias orientalis Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5637 Globularia davisiana Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4702 Trichosanthes rosthornii Species Cucurbitaceae 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

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 NPC257342 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
0.8353 Intermediate Similarity NPC250393
0.7386 Intermediate Similarity NPC177834
0.7228 Intermediate Similarity NPC232037
0.7191 Intermediate Similarity NPC325828
0.7172 Intermediate Similarity NPC97700
0.7172 Intermediate Similarity NPC30856
0.7129 Intermediate Similarity NPC475625
0.7097 Intermediate Similarity NPC264101
0.7083 Intermediate Similarity NPC475351
0.7019 Intermediate Similarity NPC132080
0.6809 Remote Similarity NPC107188
0.68 Remote Similarity NPC471464
0.6739 Remote Similarity NPC234352
0.6733 Remote Similarity NPC128572
0.6667 Remote Similarity NPC107962
0.6476 Remote Similarity NPC116756
0.6458 Remote Similarity NPC211354
0.6458 Remote Similarity NPC19400
0.6452 Remote Similarity NPC297348
0.6452 Remote Similarity NPC249204
0.6452 Remote Similarity NPC48339
0.6452 Remote Similarity NPC141769
0.6452 Remote Similarity NPC477547
0.6364 Remote Similarity NPC470866
0.6354 Remote Similarity NPC206003
0.6354 Remote Similarity NPC473610
0.6346 Remote Similarity NPC184617
0.6316 Remote Similarity NPC477451
0.6311 Remote Similarity NPC51172
0.6311 Remote Similarity NPC49032
0.63 Remote Similarity NPC160426
0.6296 Remote Similarity NPC476112
0.6296 Remote Similarity NPC307534
0.6263 Remote Similarity NPC6295
0.6176 Remote Similarity NPC202898
0.6162 Remote Similarity NPC215408
0.6161 Remote Similarity NPC94086
0.6161 Remote Similarity NPC473817
0.6091 Remote Similarity NPC233433
0.6087 Remote Similarity NPC481418
0.6019 Remote Similarity NPC473601
0.6 Remote Similarity NPC220836
0.5981 Remote Similarity NPC115165
0.5981 Remote Similarity NPC475319
0.5909 Remote Similarity NPC470864
0.5872 Remote Similarity NPC475333
0.5872 Remote Similarity NPC224098
0.5872 Remote Similarity NPC208383
0.5806 Remote Similarity NPC329807
0.5784 Remote Similarity NPC470432
0.5784 Remote Similarity NPC230507
0.5761 Remote Similarity NPC88962
0.5729 Remote Similarity NPC485594
0.569 Remote Similarity NPC480556
0.5669 Remote Similarity NPC481189
0.566 Remote Similarity NPC475643
0.5631 Remote Similarity NPC125324
0.5631 Remote Similarity NPC485595
0.5625 Remote Similarity NPC329727
0.5607 Remote Similarity NPC92890
0.551 Remote Similarity NPC181845
0.5446 Remote Similarity NPC312678
0.5446 Remote Similarity NPC473518
0.5446 Remote Similarity NPC253268
0.5412 Remote Similarity NPC48463
0.54 Remote Similarity NPC294686
0.54 Remote Similarity NPC485591
0.5398 Remote Similarity NPC232611
0.5378 Remote Similarity NPC473505
0.5377 Remote Similarity NPC14704
0.5364 Remote Similarity NPC151134
0.5354 Remote Similarity NPC481423
0.5351 Remote Similarity NPC108072
0.5345 Remote Similarity NPC31896
0.5321 Remote Similarity NPC477809
0.5317 Remote Similarity NPC330026
0.5315 Remote Similarity NPC294129
0.5304 Remote Similarity NPC83137
0.5294 Remote Similarity NPC222731
0.5289 Remote Similarity NPC210569
0.5288 Remote Similarity NPC485590
0.5283 Remote Similarity NPC195297
0.5273 Remote Similarity NPC274200
0.5273 Remote Similarity NPC6806
0.5233 Remote Similarity NPC248944
0.5233 Remote Similarity NPC7479
0.5233 Remote Similarity NPC257296
0.5231 Remote Similarity NPC329820
0.5229 Remote Similarity NPC470433
0.5229 Remote Similarity NPC46190
0.5229 Remote Similarity NPC171073
0.5204 Remote Similarity NPC24960
0.5179 Remote Similarity NPC98018
0.5179 Remote Similarity NPC284104
0.5179 Remote Similarity NPC103616
0.5169 Remote Similarity NPC232054
0.5128 Remote Similarity NPC84111
0.5128 Remote Similarity NPC287483
0.5128 Remote Similarity NPC470865
0.5102 Remote Similarity NPC473774
0.5102 Remote Similarity NPC481419
0.5102 Remote Similarity NPC481417
0.5093 Remote Similarity NPC113044
0.5093 Remote Similarity NPC283829
0.5093 Remote Similarity NPC161676
0.5091 Remote Similarity NPC602423
0.5089 Remote Similarity NPC480555
0.5089 Remote Similarity NPC150372
0.5086 Remote Similarity NPC480554
0.5041 Remote Similarity NPC15918

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC257342 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
0.7191 Intermediate Similarity NPD8171 Phase 2
0.6263 Remote Similarity NPD8170 Phase 2
0.5233 Remote Similarity NPD6928 Phase 2
0.5155 Remote Similarity NPD7991 Discontinued

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