Natural Product: NPC195126

Natural Product IDNPC195126
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
VMVODFKYINXZDT-PUHUBZITSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 129125
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

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 VMVODFKYINXZDT-PUHUBZITSA-N
Standard InCHI InChI=1S/C27H44O4/c1-16-24-23(31-27(16)11-6-17(14-28)15-30-27)13-22-20-5-4-18-12-19(29)7-9-25(18,2)21(20)8-10-26(22,24)3/h16-24,28-29H,4-15H2,1-3H3/t16-,17-,18-,19-,20+,21-,22-,23-,24-,25-,26-,27+/m0/s1
SMILES C[C@H]1[C@H]2[C@H](C[C@H]3[C@@H]4CC[C@H]5C[C@H](CC[C@]5(C)[C@H]4CC[C@]23C)O)O[C@@]21CC[C@@H](CO)CO2

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   432.32 Volume:   459.37
?
Van der Waals volume.
Dense:   0.941 LogP:   4.036
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.757
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.446
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The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   30.0
TPSA:   58.92
?
Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   2.0 Rings:   6.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.627 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.305 Fsp3:   1.0
MCE-18:   138.667
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.503 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.022
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.0
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.216 Promiscuous compounds:   0.578

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.597 MDCK Permeability:   -5.124
Pgp-inhibitor:   0.045 Pgp-substrate:   0.659
PAMPA:   0.843
?
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%):   0.059 30% Bioavailability (F30%):   0.031
50% Bioavailability (F50%):   0.626

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.027 MRP1:   0.177
Plasma Protein Binding (PPB):   54.764% Volume Distribution (VD):   -0.071
Fu: 45.577%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.998 BCRP inhibitor:   0.738
BSEP inhibitor:   0.965

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.003
CYP2D6-inhibitor:   0.029 CYP2D6-substrate:   0.196
CYP3A4-inhibitor:   1.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.472
HLM stability:   0.116
?
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):  15.168 Half-life (T1/2):  1.616

ADMET: Toxicity

hERG Blockers:  0.111 hERG Blockers (10um):  0.266
Human Hepatotoxicity (H-HT):  0.828 Drug-induced Liver Injury (DILI):  0.444
AMES Toxicity:  0.442 Rat Oral Acute Toxicity:  0.095
Maximum Recommended Daily Dose:  0.662 Skin Sensitization:  1.0
Carcinogencity:  0.956 Eye Corrosion:  0.102
Eye Irritation:  0.919 Respiratory Toxicity:  0.197
Drug-induced Neurotoxicity:  0.053 Ototoxicity:  0.641
Hematotoxicity:  0.092 Drug-induced Nephrotoxicity:  0.79
Genotoxicity:  0.005 RPMI-8226 Immunitoxicity:  0.082
A549 Cytotoxicity:  0.376 Hek293 Cytotoxicity:  0.736
BCF:   1.801
?
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:   3.598
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.881
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.322
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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
NPO14899 Agave sisalana Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO14899 Agave sisalana Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO14899 Agave sisalana Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO14899 Agave sisalana Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO14899 Agave sisalana Species Asparagaceae 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 NPC195126 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
0.8772 High Similarity NPC248944
0.8772 High Similarity NPC7479
0.8772 High Similarity NPC257296
0.7619 Intermediate Similarity NPC481427
0.6875 Remote Similarity NPC296734
0.6765 Remote Similarity NPC161035
0.6765 Remote Similarity NPC170438
0.6719 Remote Similarity NPC227260
0.6338 Remote Similarity NPC486119
0.5844 Remote Similarity NPC277715
0.5823 Remote Similarity NPC24960
0.5821 Remote Similarity NPC24556
0.5714 Remote Similarity NPC144790
0.5714 Remote Similarity NPC149400
0.5714 Remote Similarity NPC88962
0.5696 Remote Similarity NPC473774
0.5696 Remote Similarity NPC481418
0.5696 Remote Similarity NPC481419
0.5696 Remote Similarity NPC481417
0.5652 Remote Similarity NPC273290
0.5652 Remote Similarity NPC232044
0.5634 Remote Similarity NPC305808
0.5616 Remote Similarity NPC235126
0.5616 Remote Similarity NPC242419
0.5176 Remote Similarity NPC297348
0.5176 Remote Similarity NPC325828
0.5176 Remote Similarity NPC249204
0.5176 Remote Similarity NPC48339
0.5176 Remote Similarity NPC141769
0.5176 Remote Similarity NPC477547
0.5172 Remote Similarity NPC473616
0.5139 Remote Similarity NPC155985
0.5139 Remote Similarity NPC601115
0.5132 Remote Similarity NPC177818
0.5116 Remote Similarity NPC131693
0.5116 Remote Similarity NPC485591
0.5116 Remote Similarity NPC475436
0.5116 Remote Similarity NPC234352
0.5114 Remote Similarity NPC121453
0.5059 Remote Similarity NPC481424
0.5059 Remote Similarity NPC481422
0.5059 Remote Similarity NPC481423
0.5057 Remote Similarity NPC477451

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC195126 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
0.8772 High Similarity NPD6928 Phase 2
0.5185 Remote Similarity NPD7991 Discontinued
0.5176 Remote Similarity NPD8171 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