Natural Product: NPC171764

Natural Product IDNPC171764
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
BHGJAYRDOPBBLT-TZHBTPGTSA-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 BHGJAYRDOPBBLT-TZHBTPGTSA-N
Standard InCHI InChI=1S/C45H72O18/c1-19-30-27(63-45(19)12-7-21(15-46)18-56-45)14-26-24-6-5-22-13-23(8-10-43(22,3)25(24)9-11-44(26,30)4)58-42-39(62-40-36(54)34(52)31(49)20(2)57-40)38(33(51)29(17-48)60-42)61-41-37(55)35(53)32(50)28(16-47)59-41/h5,19-21,23-42,46-55H,6-18H2,1-4H3/t19-,20-,21-,23-,24+,25-,26-,27-,28+,29+,30-,31-,32+,33+,34+,35-,36+,37+,38-,39+,40+,41-,42+,43-,44-,45+/m0/s1
SMILES C[C@H]1[C@H]2[C@H](C[C@H]3[C@@H]4CC=C5C[C@H](CC[C@]5(C)[C@H]4CC[C@]23C)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]([C@@H](CO)O2)O)O)O)O[C@@H]2[C@@H]([C@@H]([C@H]([C@H](C)O2)O)O)O)O[C@@]21CC[C@@H](CO)CO2

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   900.47 Volume:   865.455
?
Van der Waals volume.
Dense:   1.04 LogP:   0.927
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   1.825
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.442
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   48.0
TPSA:   276.14
?
Topological Polar Surface Area.
H-Bond Acceptor:   18.0
H-Bond Donor:   10.0 Rings:   9.0
Heavy Atoms:   18.0

MedChem Properties

QED Drug-Likeness Score:   0.127 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.751 Fsp3:   0.956
MCE-18:   229.091
?
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:   0.683 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.004
?
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:   0.233 Promiscuous compounds:   0.008

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.83 MDCK Permeability:   -4.825
Pgp-inhibitor:   0.0 Pgp-substrate:   0.98
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):   0.001
20% Bioavailability (F20%):   0.024 30% Bioavailability (F30%):   0.691
50% Bioavailability (F50%):   0.969

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.018
Plasma Protein Binding (PPB):   61.994% Volume Distribution (VD):   -0.422
Fu: 31.038%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.108
BSEP inhibitor:   0.001

ADMET: Metabolism

CYP1A2-inhibitor:   0.032 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:   0.002
CYP3A4-inhibitor:   0.61 CYP3A4-substrate:   0.003
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.0
HLM stability:   0.061
?
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):  0.559 Half-life (T1/2):  2.794

ADMET: Toxicity

hERG Blockers:  0.001 hERG Blockers (10um):  0.003
Human Hepatotoxicity (H-HT):  0.622 Drug-induced Liver Injury (DILI):  0.968
AMES Toxicity:  0.994 Rat Oral Acute Toxicity:  0.004
Maximum Recommended Daily Dose:  0.002 Skin Sensitization:  1.0
Carcinogencity:  0.606 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.999
Hematotoxicity:  0.736 Drug-induced Nephrotoxicity:  0.997
Genotoxicity:  0.035 RPMI-8226 Immunitoxicity:  0.363
A549 Cytotoxicity:  0.991 Hek293 Cytotoxicity:  0.899
BCF:   1.334
?
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:   3.328
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.432
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.816
?
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
NPO127 Phragmites australis Species Poaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15886 Lepidium campestre Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15886 Lepidium campestre Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO127 Phragmites australis Species Poaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO15886 Lepidium campestre Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO127 Phragmites australis Species Poaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO15886 Lepidium campestre Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO127 Phragmites australis Species Poaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7802 Dacrycarpus vieillardii Species Podocarpaceae 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 NPC171764 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
0.9247 High Similarity NPC300557
0.9032 High Similarity NPC602423
0.8218 Intermediate Similarity NPC309278
0.798 Intermediate Similarity NPC248746
0.7647 Intermediate Similarity NPC480555
0.7647 Intermediate Similarity NPC150372
0.7576 Intermediate Similarity NPC113044
0.7576 Intermediate Similarity NPC283829
0.7576 Intermediate Similarity NPC161676
0.757 Intermediate Similarity NPC477811
0.7353 Intermediate Similarity NPC470433
0.7353 Intermediate Similarity NPC46190
0.7353 Intermediate Similarity NPC171073
0.734 Intermediate Similarity NPC181845
0.7257 Intermediate Similarity NPC477808
0.7248 Intermediate Similarity NPC480553
0.7228 Intermediate Similarity NPC14704
0.7212 Intermediate Similarity NPC6806
0.72 Intermediate Similarity NPC470432
0.72 Intermediate Similarity NPC230507
0.7064 Intermediate Similarity NPC480554
0.697 Remote Similarity NPC206003
0.697 Remote Similarity NPC473610
0.6944 Remote Similarity NPC269297
0.6944 Remote Similarity NPC222202
0.6944 Remote Similarity NPC475550
0.6916 Remote Similarity NPC102016
0.6916 Remote Similarity NPC95051
0.6887 Remote Similarity NPC42171
0.6881 Remote Similarity NPC475333
0.6881 Remote Similarity NPC224098
0.6881 Remote Similarity NPC208383
0.6822 Remote Similarity NPC150057
0.6822 Remote Similarity NPC147753
0.6818 Remote Similarity NPC194207
0.6818 Remote Similarity NPC22779
0.6792 Remote Similarity NPC477809
0.6726 Remote Similarity NPC31896
0.6638 Remote Similarity NPC480556
0.6607 Remote Similarity NPC218571
0.6607 Remote Similarity NPC487615
0.6571 Remote Similarity NPC305423
0.6538 Remote Similarity NPC125324
0.6522 Remote Similarity NPC232054
0.6509 Remote Similarity NPC475351
0.6333 Remote Similarity NPC210569
0.6303 Remote Similarity NPC224314
0.6283 Remote Similarity NPC13193
0.6168 Remote Similarity NPC141433
0.6167 Remote Similarity NPC477807
0.6126 Remote Similarity NPC48886
0.6126 Remote Similarity NPC51172
0.6126 Remote Similarity NPC49032
0.6126 Remote Similarity NPC94881
0.6048 Remote Similarity NPC305771
0.6048 Remote Similarity NPC94072
0.6048 Remote Similarity NPC169816
0.6018 Remote Similarity NPC97700
0.6018 Remote Similarity NPC184617
0.6018 Remote Similarity NPC30856
0.6 Remote Similarity NPC32361
0.5926 Remote Similarity NPC94272
0.5926 Remote Similarity NPC6295
0.592 Remote Similarity NPC244431
0.5856 Remote Similarity NPC473601
0.5847 Remote Similarity NPC83137
0.581 Remote Similarity NPC477451
0.5806 Remote Similarity NPC15918
0.5794 Remote Similarity NPC263359
0.5789 Remote Similarity NPC475182
0.5739 Remote Similarity NPC73243
0.5739 Remote Similarity NPC244086
0.5739 Remote Similarity NPC84956
0.5729 Remote Similarity NPC486119
0.5728 Remote Similarity NPC485594
0.5714 Remote Similarity NPC98696
0.5714 Remote Similarity NPC40440
0.5702 Remote Similarity NPC249553
0.5702 Remote Similarity NPC182900
0.569 Remote Similarity NPC475319
0.5667 Remote Similarity NPC132080
0.5648 Remote Similarity NPC19400
0.5641 Remote Similarity NPC247037
0.5619 Remote Similarity NPC297348
0.5619 Remote Similarity NPC249204
0.5619 Remote Similarity NPC48339
0.5619 Remote Similarity NPC141769
0.5619 Remote Similarity NPC477547
0.5565 Remote Similarity NPC124677
0.5556 Remote Similarity NPC115165
0.5517 Remote Similarity NPC151134
0.5505 Remote Similarity NPC306131
0.5505 Remote Similarity NPC200802
0.55 Remote Similarity NPC249265
0.5495 Remote Similarity NPC485595
0.5472 Remote Similarity NPC325828
0.547 Remote Similarity NPC294129
0.5462 Remote Similarity NPC116756
0.5455 Remote Similarity NPC23808
0.5455 Remote Similarity NPC87998
0.5439 Remote Similarity NPC161738
0.5439 Remote Similarity NPC42482
0.5421 Remote Similarity NPC234352
0.5417 Remote Similarity NPC232037
0.5398 Remote Similarity NPC160426
0.5391 Remote Similarity NPC469347
0.5372 Remote Similarity NPC108072
0.5372 Remote Similarity NPC470864
0.5345 Remote Similarity NPC122819
0.5333 Remote Similarity NPC473518
0.5312 Remote Similarity NPC79900
0.531 Remote Similarity NPC195297
0.531 Remote Similarity NPC70204
0.5285 Remote Similarity NPC233433
0.5273 Remote Similarity NPC121453
0.5268 Remote Similarity NPC107962
0.5253 Remote Similarity NPC100451
0.5242 Remote Similarity NPC308140
0.5225 Remote Similarity NPC211354
0.5225 Remote Similarity NPC107188
0.5221 Remote Similarity NPC15249
0.5221 Remote Similarity NPC25455
0.521 Remote Similarity NPC475247
0.5203 Remote Similarity NPC476112
0.5203 Remote Similarity NPC307534
0.5182 Remote Similarity NPC222731
0.5159 Remote Similarity NPC470866
0.514 Remote Similarity NPC165439
0.5133 Remote Similarity NPC295980
0.5126 Remote Similarity NPC128572
0.5108 Remote Similarity NPC481189
0.5079 Remote Similarity NPC167183
0.5051 Remote Similarity NPC235126
0.5051 Remote Similarity NPC242419
0.5043 Remote Similarity NPC475670
0.5043 Remote Similarity NPC486388
0.5041 Remote Similarity NPC232611
0.504 Remote Similarity NPC256983

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC171764 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
0.6822 Remote Similarity NPD8450 Suspended
0.5472 Remote Similarity NPD8171 Phase 2
0.5345 Remote Similarity NPD8449 Approved

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