Natural Product: NPC215372

Natural Product IDNPC215372
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
PLDYAXVZGBUCAG-JAPCNKQPSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 102594502
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 PLDYAXVZGBUCAG-JAPCNKQPSA-N
Standard InCHI InChI=1S/C51H82O20/c1-20-10-15-51(62-19-20)21(2)32-30(71-51)17-29-27-9-8-25-16-26(11-13-49(25,6)28(27)12-14-50(29,32)7)66-48-44(70-47-41(61)38(58)35(55)31(18-52)67-47)43(69-46-40(60)37(57)34(54)23(4)64-46)42(24(5)65-48)68-45-39(59)36(56)33(53)22(3)63-45/h8,20-24,26-48,52-61H,9-19H2,1-7H3/t20-,21+,22+,23+,24+,26+,27-,28+,29+,30+,31-,32+,33+,34+,35-,36-,37-,38+,39-,40-,41-,42+,43-,44-,45+,46+,47+,48+,49+,50+,51-/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[C@]34C)O[C@H]3[C@@H]([C@@H]([C@H]([C@H](C)O3)O[C@H]3[C@@H]([C@@H]([C@H]([C@H](C)O3)O)O)O)O[C@H]3[C@@H]([C@@H]([C@H]([C@H](C)O3)O)O)O)O[C@H]3[C@@H]([C@H]([C@@H]([C@@H](CO)O3)O)O)O)O2)OC1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   1014.54 Volume:   978.255
?
Van der Waals volume.
Dense:   1.037 LogP:   2.416
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.109
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.566
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   54.0
TPSA:   294.6
?
Topological Polar Surface Area.
H-Bond Acceptor:   20.0
H-Bond Donor:   10.0 Rings:   10.0
Heavy Atoms:   20.0

MedChem Properties

QED Drug-Likeness Score:   0.137 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   7.128 Fsp3:   0.961
MCE-18:   259.76
?
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:   0.719 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.003
?
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:   0.31 Promiscuous compounds:   0.013

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.325 MDCK Permeability:   -5.006
Pgp-inhibitor:   0.0 Pgp-substrate:   0.987
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):   0.0
20% Bioavailability (F20%):   0.008 30% Bioavailability (F30%):   0.326
50% Bioavailability (F50%):   0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.005
Plasma Protein Binding (PPB):   61.929% Volume Distribution (VD):   -0.352
Fu: 27.789%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.061
BSEP inhibitor:   0.133

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:   0.33 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.999
HLM stability:   0.046
?
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):  -0.182 Half-life (T1/2):  3.894

ADMET: Toxicity

hERG Blockers:  0.031 hERG Blockers (10um):  0.168
Human Hepatotoxicity (H-HT):  0.19 Drug-induced Liver Injury (DILI):  0.95
AMES Toxicity:  0.86 Rat Oral Acute Toxicity:  0.003
Maximum Recommended Daily Dose:  0.002 Skin Sensitization:  1.0
Carcinogencity:  0.006 Eye Corrosion:  0.0
Eye Irritation:  0.0 Respiratory Toxicity:  0.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  1.0
Hematotoxicity:  0.046 Drug-induced Nephrotoxicity:  0.579
Genotoxicity:  0.001 RPMI-8226 Immunitoxicity:  0.379
A549 Cytotoxicity:  0.557 Hek293 Cytotoxicity:  0.698
BCF:   2.078
?
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:   3.517
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.654
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.1
?
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
NPO27472 Daiswa polyphylla Species Melanthiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO27472 Daiswa polyphylla Species Melanthiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO27472 Daiswa polyphylla Species Melanthiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO27472 Daiswa polyphylla Species Melanthiaceae 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 NPC215372 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
0.8526 High Similarity NPC300557
0.8316 Intermediate Similarity NPC602423
0.8191 Intermediate Similarity NPC113044
0.8191 Intermediate Similarity NPC283829
0.8191 Intermediate Similarity NPC161676
0.8182 Intermediate Similarity NPC181845
0.7879 Intermediate Similarity NPC480555
0.7879 Intermediate Similarity NPC150372
0.7629 Intermediate Similarity NPC14704
0.7604 Intermediate Similarity NPC470432
0.7604 Intermediate Similarity NPC230507
0.7576 Intermediate Similarity NPC470433
0.7576 Intermediate Similarity NPC46190
0.7576 Intermediate Similarity NPC171073
0.7573 Intermediate Similarity NPC309278
0.7308 Intermediate Similarity NPC269297
0.7308 Intermediate Similarity NPC222202
0.729 Intermediate Similarity NPC480553
0.7157 Intermediate Similarity NPC477809
0.7103 Intermediate Similarity NPC480554
0.7087 Intermediate Similarity NPC6806
0.7075 Intermediate Similarity NPC475333
0.7075 Intermediate Similarity NPC224098
0.7075 Intermediate Similarity NPC208383
0.7009 Intermediate Similarity NPC194207
0.7009 Intermediate Similarity NPC22779
0.699 Remote Similarity NPC248746
0.6972 Remote Similarity NPC477811
0.6696 Remote Similarity NPC232054
0.6696 Remote Similarity NPC477808
0.6667 Remote Similarity NPC141433
0.6667 Remote Similarity NPC480556
0.6609 Remote Similarity NPC224314
0.6604 Remote Similarity NPC42171
0.6602 Remote Similarity NPC305423
0.6392 Remote Similarity NPC485594
0.6364 Remote Similarity NPC475550
0.6337 Remote Similarity NPC206003
0.6337 Remote Similarity NPC473610
0.6306 Remote Similarity NPC32361
0.6306 Remote Similarity NPC13193
0.63 Remote Similarity NPC477451
0.6182 Remote Similarity NPC102016
0.6182 Remote Similarity NPC95051
0.6174 Remote Similarity NPC31896
0.6117 Remote Similarity NPC306131
0.6117 Remote Similarity NPC200802
0.61 Remote Similarity NPC297348
0.61 Remote Similarity NPC249204
0.61 Remote Similarity NPC48339
0.61 Remote Similarity NPC141769
0.61 Remote Similarity NPC477547
0.6095 Remote Similarity NPC6295
0.6019 Remote Similarity NPC98696
0.6019 Remote Similarity NPC40440
0.5926 Remote Similarity NPC475351
0.5914 Remote Similarity NPC100451
0.5913 Remote Similarity NPC218571
0.5913 Remote Similarity NPC487615
0.5888 Remote Similarity NPC70204
0.582 Remote Similarity NPC210569
0.581 Remote Similarity NPC211354
0.581 Remote Similarity NPC19400
0.5804 Remote Similarity NPC150057
0.5804 Remote Similarity NPC147753
0.5784 Remote Similarity NPC325828
0.5752 Remote Similarity NPC73243
0.5752 Remote Similarity NPC244086
0.5752 Remote Similarity NPC84956
0.5728 Remote Similarity NPC234352
0.5714 Remote Similarity NPC182900
0.5699 Remote Similarity NPC235126
0.5699 Remote Similarity NPC242419
0.5664 Remote Similarity NPC475182
0.5656 Remote Similarity NPC477807
0.5652 Remote Similarity NPC247037
0.5648 Remote Similarity NPC125324
0.5648 Remote Similarity NPC94272
0.5648 Remote Similarity NPC485595
0.5619 Remote Similarity NPC222731
0.5614 Remote Similarity NPC294129
0.5593 Remote Similarity NPC23808
0.5593 Remote Similarity NPC87998
0.5586 Remote Similarity NPC42482
0.5575 Remote Similarity NPC249553
0.5575 Remote Similarity NPC124677
0.5556 Remote Similarity NPC305771
0.5556 Remote Similarity NPC107962
0.5556 Remote Similarity NPC94072
0.5556 Remote Similarity NPC169816
0.5556 Remote Similarity NPC277715
0.5545 Remote Similarity NPC160426
0.5514 Remote Similarity NPC107188
0.5508 Remote Similarity NPC249265
0.5478 Remote Similarity NPC97700
0.5478 Remote Similarity NPC184617
0.5478 Remote Similarity NPC30856
0.5455 Remote Similarity NPC144790
0.5455 Remote Similarity NPC149400
0.5455 Remote Similarity NPC195297
0.5429 Remote Similarity NPC294686
0.5372 Remote Similarity NPC308140
0.5333 Remote Similarity NPC83137
0.5317 Remote Similarity NPC15918
0.5312 Remote Similarity NPC263359
0.531 Remote Similarity NPC473601
0.531 Remote Similarity NPC486388
0.5304 Remote Similarity NPC51172
0.5304 Remote Similarity NPC49032
0.5259 Remote Similarity NPC128572
0.5258 Remote Similarity NPC486119
0.5243 Remote Similarity NPC24960
0.5225 Remote Similarity NPC306991
0.5179 Remote Similarity NPC475670
0.5172 Remote Similarity NPC48886
0.5172 Remote Similarity NPC94881
0.5169 Remote Similarity NPC475319
0.5164 Remote Similarity NPC132080
0.5146 Remote Similarity NPC481420
0.5146 Remote Similarity NPC473774
0.5146 Remote Similarity NPC481419
0.5146 Remote Similarity NPC481417
0.5146 Remote Similarity NPC481421
0.5135 Remote Similarity NPC295980
0.5133 Remote Similarity NPC470748
0.5089 Remote Similarity NPC15249
0.5089 Remote Similarity NPC25455
0.5088 Remote Similarity NPC112274
0.5086 Remote Similarity NPC122819
0.5077 Remote Similarity NPC244431
0.5051 Remote Similarity NPC22140
0.5051 Remote Similarity NPC243728
0.5051 Remote Similarity NPC158088
0.5047 Remote Similarity NPC272015
0.5047 Remote Similarity NPC177834
0.5046 Remote Similarity NPC250393
0.5043 Remote Similarity NPC161738
0.5043 Remote Similarity NPC471464
0.5042 Remote Similarity NPC115165

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC215372 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
0.5804 Remote Similarity NPD8450 Suspended
0.5784 Remote Similarity NPD8171 Phase 2
0.5225 Remote Similarity NPD8170 Phase 2
0.5086 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