Natural Product: NPC292465

Natural Product IDNPC292465
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
KIAIAZNJHWWAFM-LZUXFAODSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 21630154
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 KIAIAZNJHWWAFM-LZUXFAODSA-N
Standard InCHI InChI=1S/C33H52O8/c1-16-8-11-33(38-15-16)17(2)26-24(41-33)14-23-21-7-6-19-12-20(34)13-25(32(19,5)22(21)9-10-31(23,26)4)40-30-29(37)28(36)27(35)18(3)39-30/h6,16-18,20-30,34-37H,7-15H2,1-5H3/t16-,17-,18+,20+,21+,22-,23-,24-,25+,26-,27-,28-,29+,30-,31-,32-,33+/m0/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](C[C@H]([C@]6(C)[C@H]5CC[C@]34C)O[C@H]3[C@@H]([C@H]([C@H]([C@@H](C)O3)O)O)O)O)O2)OC1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   576.37 Volume:   587.114
?
Van der Waals volume.
Dense:   0.982 LogP:   4.215
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.15
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.649
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   36.0
TPSA:   117.84
?
Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   4.0 Rings:   7.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.369 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.91 Fsp3:   0.939
MCE-18:   171.562
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.768 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.015
?
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:   0.177 Promiscuous compounds:   0.016

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.528 MDCK Permeability:   -5.044
Pgp-inhibitor:   0.005 Pgp-substrate:   0.962
PAMPA:   0.97
?
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%):   0.275 30% Bioavailability (F30%):   0.815
50% Bioavailability (F50%):   0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.004 MRP1:   0.221
Plasma Protein Binding (PPB):   62.418% Volume Distribution (VD):   -0.293
Fu: 34.613%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.961
BSEP inhibitor:   0.313

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:   0.014
CYP3A4-inhibitor:   0.966 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.985
HLM stability:   0.1
?
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):  6.574 Half-life (T1/2):  2.0

ADMET: Toxicity

hERG Blockers:  0.078 hERG Blockers (10um):  0.248
Human Hepatotoxicity (H-HT):  0.618 Drug-induced Liver Injury (DILI):  0.791
AMES Toxicity:  0.53 Rat Oral Acute Toxicity:  0.188
Maximum Recommended Daily Dose:  0.811 Skin Sensitization:  0.999
Carcinogencity:  0.651 Eye Corrosion:  0.0
Eye Irritation:  0.058 Respiratory Toxicity:  0.105
Drug-induced Neurotoxicity:  0.016 Ototoxicity:  0.93
Hematotoxicity:  0.161 Drug-induced Nephrotoxicity:  0.64
Genotoxicity:  0.022 RPMI-8226 Immunitoxicity:  0.226
A549 Cytotoxicity:  0.681 Hek293 Cytotoxicity:  0.822
BCF:   1.985
?
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:   3.617
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.73
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.281
?
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
NPO1287 Coriaria nepalensis Species Coriariaceae Eukaryota n.a. root n.a. PMID[12016873]
NPO16239 Rhodiola rosea Species Crassulaceae Eukaryota roots n.a. n.a. PMID[19729316]
NPO16239 Rhodiola rosea Species Crassulaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9588 Atelopus chiriquiensis Species Bufonidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22493 Xenia crassa Species Xeniidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO25200 Takifugu niphobles Species Tetraodontidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO16239 Rhodiola rosea Species Crassulaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO22493 Xenia crassa Species Xeniidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9474 Clausena pentaphylla Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25200 Takifugu niphobles Species Tetraodontidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1287 Coriaria nepalensis Species Coriariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16239 Rhodiola rosea Species Crassulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9588 Atelopus chiriquiensis Species Bufonidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5848 Pimpinella nudicaulis Species Apiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5594 Notholaena nivea Species Pteridaceae 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 NPC292465 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
0.8875 High Similarity NPC306131
0.8875 High Similarity NPC200802
0.8452 Intermediate Similarity NPC70204
0.7717 Intermediate Similarity NPC294129
0.7416 Intermediate Similarity NPC475670
0.7253 Intermediate Similarity NPC112274
0.7195 Intermediate Similarity NPC473774
0.7195 Intermediate Similarity NPC481419
0.7195 Intermediate Similarity NPC481417
0.6977 Remote Similarity NPC13190
0.6962 Remote Similarity NPC473923
0.6804 Remote Similarity NPC475247
0.679 Remote Similarity NPC473476
0.6588 Remote Similarity NPC481420
0.6588 Remote Similarity NPC481421
0.6582 Remote Similarity NPC235126
0.6582 Remote Similarity NPC242419
0.6559 Remote Similarity NPC470432
0.6559 Remote Similarity NPC230507
0.6477 Remote Similarity NPC181845
0.6429 Remote Similarity NPC144790
0.6429 Remote Similarity NPC149400
0.6421 Remote Similarity NPC113044
0.6421 Remote Similarity NPC283829
0.6421 Remote Similarity NPC14704
0.6421 Remote Similarity NPC161676
0.6413 Remote Similarity NPC476538
0.6413 Remote Similarity NPC476539
0.6354 Remote Similarity NPC51154
0.6322 Remote Similarity NPC24960
0.6304 Remote Similarity NPC476540
0.6304 Remote Similarity NPC476541
0.6296 Remote Similarity NPC177818
0.6292 Remote Similarity NPC481424
0.6292 Remote Similarity NPC481422
0.6289 Remote Similarity NPC11548
0.6224 Remote Similarity NPC470433
0.6224 Remote Similarity NPC46190
0.6224 Remote Similarity NPC171073
0.6224 Remote Similarity NPC602423
0.61 Remote Similarity NPC300557
0.604 Remote Similarity NPC480555
0.604 Remote Similarity NPC150372
0.6 Remote Similarity NPC485594
0.5914 Remote Similarity NPC477451
0.5865 Remote Similarity NPC269297
0.5865 Remote Similarity NPC222202
0.5843 Remote Similarity NPC481418
0.5833 Remote Similarity NPC486119
0.581 Remote Similarity NPC475333
0.581 Remote Similarity NPC32361
0.581 Remote Similarity NPC224098
0.581 Remote Similarity NPC208383
0.5806 Remote Similarity NPC131693
0.5806 Remote Similarity NPC475436
0.5794 Remote Similarity NPC229962
0.5761 Remote Similarity NPC481425
0.5761 Remote Similarity NPC481426
0.5729 Remote Similarity NPC19400
0.5701 Remote Similarity NPC480554
0.5686 Remote Similarity NPC248746
0.5684 Remote Similarity NPC222731
0.5648 Remote Similarity NPC195560
0.5631 Remote Similarity NPC6806
0.5618 Remote Similarity NPC277715
0.5596 Remote Similarity NPC480553
0.5591 Remote Similarity NPC226642
0.5567 Remote Similarity NPC475431
0.5556 Remote Similarity NPC6295
0.5534 Remote Similarity NPC477809
0.5532 Remote Similarity NPC297348
0.5532 Remote Similarity NPC325828
0.5532 Remote Similarity NPC249204
0.5532 Remote Similarity NPC48339
0.5532 Remote Similarity NPC177834
0.5532 Remote Similarity NPC141769
0.5532 Remote Similarity NPC477547
0.55 Remote Similarity NPC141433
0.5474 Remote Similarity NPC234352
0.5439 Remote Similarity NPC198325
0.54 Remote Similarity NPC485595
0.537 Remote Similarity NPC309278
0.5361 Remote Similarity NPC473616
0.5351 Remote Similarity NPC480556
0.5347 Remote Similarity NPC195297
0.5345 Remote Similarity NPC207243
0.5333 Remote Similarity NPC42171
0.5321 Remote Similarity NPC194207
0.5321 Remote Similarity NPC22779
0.5312 Remote Similarity NPC294686
0.5309 Remote Similarity NPC248944
0.5309 Remote Similarity NPC7479
0.5309 Remote Similarity NPC257296
0.5306 Remote Similarity NPC206003
0.5306 Remote Similarity NPC473610
0.5304 Remote Similarity NPC224314
0.5299 Remote Similarity NPC233391
0.5288 Remote Similarity NPC475403
0.5253 Remote Similarity NPC211354
0.5253 Remote Similarity NPC107188
0.5227 Remote Similarity NPC176406
0.5204 Remote Similarity NPC250393
0.5172 Remote Similarity NPC477807
0.5165 Remote Similarity NPC88962
0.5149 Remote Similarity NPC107962
0.514 Remote Similarity NPC160888
0.5114 Remote Similarity NPC100451
0.5104 Remote Similarity NPC481423
0.5091 Remote Similarity NPC475487
0.5088 Remote Similarity NPC232054
0.506 Remote Similarity NPC296734
0.5055 Remote Similarity NPC473469
0.5046 Remote Similarity NPC148965
0.5044 Remote Similarity NPC477811

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC292465 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
0.5532 Remote Similarity NPD8171 Phase 2
0.5309 Remote Similarity NPD6928 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