Natural Product: NPC126958

Natural Product IDNPC126958
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
DHWHIUKSBPWEHK-QPBLYYNVSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 101615131
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0002049] Terpene glycosides
          • [CHEMONTID:0001580] Triterpene glycosides
            • [CHEMONTID:0002358] Triterpene 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 DHWHIUKSBPWEHK-QPBLYYNVSA-N
Standard InCHI InChI=1S/C37H60O10/c1-19-11-14-37(31(43)47-30-27(41)26(40)25(39)22(46-30)18-45-8)16-15-34(5)20(28(37)36(19,7)44)9-10-24-33(4)17-21(38)29(42)32(2,3)23(33)12-13-35(24,34)6/h9,19,21-30,38-42,44H,10-18H2,1-8H3/t19-,21-,22-,23+,24-,25-,26+,27-,28-,29+,30+,33+,34-,35-,36-,37+/m1/s1
SMILES C[C@@H]1CC[C@@]2(CC[C@]3(C)C(=CC[C@@H]4[C@@]5(C)C[C@H]([C@@H](C(C)(C)[C@@H]5CC[C@@]34C)O)O)[C@@H]2[C@]1(C)O)C(=O)O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](COC)O1)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   664.42 Volume:   679.799
?
Van der Waals volume.
Dense:   0.977 LogP:   2.731
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.021
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.065
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   33.0
TPSA:   166.14
?
Topological Polar Surface Area.
H-Bond Acceptor:   10.0
H-Bond Donor:   6.0 Rings:   6.0
Heavy Atoms:   10.0

MedChem Properties

QED Drug-Likeness Score:   0.194 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.587 Fsp3:   0.919
MCE-18:   132.507
?
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:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.784 Fluc inhibitor:   0.0
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.043
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.001
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.185 Promiscuous compounds:   0.221

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.772 MDCK Permeability:   -5.201
Pgp-inhibitor:   0.0 Pgp-substrate:   0.335
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):   0.142
20% Bioavailability (F20%):   0.969 30% Bioavailability (F30%):   0.992
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.199 MRP1:   0.152
Plasma Protein Binding (PPB):   81.826% Volume Distribution (VD):   -0.106
Fu: 15.845%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.044
BSEP inhibitor:   0.363

ADMET: Metabolism

CYP1A2-inhibitor:   0.001 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:   0.0 CYP3A4-substrate:   0.411
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.205
HLM stability:   0.256
?
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):  1.092 Half-life (T1/2):  2.143

ADMET: Toxicity

hERG Blockers:  0.016 hERG Blockers (10um):  0.058
Human Hepatotoxicity (H-HT):  0.476 Drug-induced Liver Injury (DILI):  0.378
AMES Toxicity:  0.582 Rat Oral Acute Toxicity:  0.055
Maximum Recommended Daily Dose:  0.047 Skin Sensitization:  0.895
Carcinogencity:  0.431 Eye Corrosion:  0.0
Eye Irritation:  0.058 Respiratory Toxicity:  0.057
Drug-induced Neurotoxicity:  0.001 Ototoxicity:  0.943
Hematotoxicity:  0.396 Drug-induced Nephrotoxicity:  0.97
Genotoxicity:  0.061 RPMI-8226 Immunitoxicity:  0.112
A549 Cytotoxicity:  0.223 Hek293 Cytotoxicity:  0.105
BCF:   1.489
?
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:   3.88
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.549
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.723
?
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
NPO7372 Rosa laevigata Species Rosaceae Eukaryota Leaves Huangshan, Anhui Province, China 2008-NOV PMID[21384845]
NPO7372 Rosa laevigata Species Rosaceae Eukaryota n.a. leaf n.a. PMID[21384845]
NPO7372 Rosa laevigata Species Rosaceae Eukaryota n.a. n.a. n.a. PMID[23632365]
NPO2663 Casimiroa tetrameria Species Rutaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO4855 Colchicum speciosum Species Colchicaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO18564 Ligularia dentata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO7372 Rosa laevigata Species Rosaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO18564 Ligularia dentata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO7372 Rosa laevigata Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO2663 Casimiroa tetrameria Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO18564 Ligularia dentata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7372 Rosa laevigata Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO7372 Rosa laevigata Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO3868 Senecio sinuatus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11165 Spirographis spallanzani n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO18564 Ligularia dentata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7372 Rosa laevigata Species Rosaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1507 Cissus quinquefolia Species Vitaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2663 Casimiroa tetrameria Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4855 Colchicum speciosum Species Colchicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9388 Heliomeris multiflora Species Asteraceae 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 NPC126958 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
0.8272 Intermediate Similarity NPC310014
0.8272 Intermediate Similarity NPC269315
0.7326 Intermediate Similarity NPC271138
0.7143 Intermediate Similarity NPC259788
0.7143 Intermediate Similarity NPC255589
0.686 Remote Similarity NPC46388
0.6667 Remote Similarity NPC605954
0.6444 Remote Similarity NPC7870
0.6444 Remote Similarity NPC75747
0.6333 Remote Similarity NPC37739
0.6105 Remote Similarity NPC47063
0.6042 Remote Similarity NPC204458
0.6042 Remote Similarity NPC189884
0.6042 Remote Similarity NPC138334
0.587 Remote Similarity NPC116794
0.5743 Remote Similarity NPC58448
0.5684 Remote Similarity NPC102914
0.5684 Remote Similarity NPC110139
0.5684 Remote Similarity NPC108709
0.5607 Remote Similarity NPC134835
0.5579 Remote Similarity NPC68419
0.5566 Remote Similarity NPC68175
0.5556 Remote Similarity NPC73318
0.5524 Remote Similarity NPC160415
0.5464 Remote Similarity NPC220984
0.5435 Remote Similarity NPC191763
0.5429 Remote Similarity NPC75417
0.5412 Remote Similarity NPC136313
0.5349 Remote Similarity NPC307335
0.5349 Remote Similarity NPC74855
0.5347 Remote Similarity NPC29069
0.5319 Remote Similarity NPC167383
0.5312 Remote Similarity NPC65590
0.5312 Remote Similarity NPC125923
0.5294 Remote Similarity NPC48499
0.5234 Remote Similarity NPC104071
0.5189 Remote Similarity NPC473343
0.5102 Remote Similarity NPC604133
0.5094 Remote Similarity NPC295371
0.5045 Remote Similarity NPC601659

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC126958 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
NPD

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