Natural Product: NPC310482

Natural Product IDNPC310482
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
OESLKRXCBRUCJZ-CGRFPGENSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 102090518
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 OESLKRXCBRUCJZ-CGRFPGENSA-N
Standard InCHI InChI=1S/C30H50O2/c1-18(2)19-11-13-27(5)15-16-29(7)20(24(19)27)9-10-23-28(6)17-21(31)25(32)26(3,4)22(28)12-14-30(23,29)8/h19-25,31-32H,1,9-17H2,2-8H3/t19-,20+,21+,22-,23+,24+,25+,27+,28-,29+,30+/m0/s1
SMILES C=C(C)[C@@H]1CC[C@]2(C)CC[C@]3(C)[C@H](CC[C@@H]4[C@@]5(C)C[C@H]([C@H](C(C)(C)[C@@H]5CC[C@@]34C)O)O)[C@@H]12

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   442.38 Volume:   499.598
?
Van der Waals volume.
Dense:   0.885 LogP:   5.856
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.752
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.363
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   1.0 Rigid Bonds:   26.0
TPSA:   40.46
?
Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   2.0 Rings:   5.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.429 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.853 Fsp3:   0.933
MCE-18:   103.517
?
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:   0.97 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:   0.005
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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:   0.554 Promiscuous compounds:   0.236

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.093 MDCK Permeability:   -4.88
Pgp-inhibitor:   0.325 Pgp-substrate:   0.056
PAMPA:   0.083
?
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%):   0.038 30% Bioavailability (F30%):   0.159
50% Bioavailability (F50%):   0.941

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.421 MRP1:   0.949
Plasma Protein Binding (PPB):   94.725% Volume Distribution (VD):   0.464
Fu: 5.316%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.995 BCRP inhibitor:   0.41
BSEP inhibitor:   0.993

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.014
CYP2C19-inhibitor:   0.508 CYP2C19-substrate:   0.018
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.02
CYP2D6-inhibitor:   0.016 CYP2D6-substrate:   0.003
CYP3A4-inhibitor:   0.508 CYP3A4-substrate:   0.704
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.788
HLM stability:   0.522
?
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):  11.798 Half-life (T1/2):  0.655

ADMET: Toxicity

hERG Blockers:  0.109 hERG Blockers (10um):  0.413
Human Hepatotoxicity (H-HT):  0.429 Drug-induced Liver Injury (DILI):  0.143
AMES Toxicity:  0.157 Rat Oral Acute Toxicity:  0.167
Maximum Recommended Daily Dose:  0.496 Skin Sensitization:  0.758
Carcinogencity:  0.776 Eye Corrosion:  0.213
Eye Irritation:  0.825 Respiratory Toxicity:  0.719
Drug-induced Neurotoxicity:  0.041 Ototoxicity:  0.707
Hematotoxicity:  0.452 Drug-induced Nephrotoxicity:  0.664
Genotoxicity:  0.071 RPMI-8226 Immunitoxicity:  0.032
A549 Cytotoxicity:  0.081 Hek293 Cytotoxicity:  0.261
BCF:   2.811
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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:   4.65
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.346
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.336
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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
NPO6321 Agathosma thymifolia Species Rutaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO12800 Glycine falcata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22758 Picradeniopsis pringlei Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6321 Agathosma thymifolia Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12800 Glycine falcata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22758 Picradeniopsis pringlei 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 NPC310482 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
1.0 High Similarity NPC102708
0.7059 Intermediate Similarity NPC192638
0.7059 Intermediate Similarity NPC25511
0.7059 Intermediate Similarity NPC600137
0.6226 Remote Similarity NPC35652
0.6111 Remote Similarity NPC80297
0.6111 Remote Similarity NPC475727
0.6111 Remote Similarity NPC116119
0.6071 Remote Similarity NPC248830
0.6071 Remote Similarity NPC212241
0.5902 Remote Similarity NPC488506
0.5902 Remote Similarity NPC220498
0.5893 Remote Similarity NPC202540
0.5893 Remote Similarity NPC14112
0.5862 Remote Similarity NPC57469
0.5862 Remote Similarity NPC269396
0.5833 Remote Similarity NPC471900
0.5714 Remote Similarity NPC43300
0.5614 Remote Similarity NPC104387
0.5517 Remote Similarity NPC231256
0.5517 Remote Similarity NPC178383
0.5424 Remote Similarity NPC93662
0.5345 Remote Similarity NPC240235
0.5333 Remote Similarity NPC305835
0.5333 Remote Similarity NPC246956
0.5333 Remote Similarity NPC74595
0.5333 Remote Similarity NPC264665
0.5246 Remote Similarity NPC103754
0.5179 Remote Similarity NPC142712
0.5161 Remote Similarity NPC12774
0.5161 Remote Similarity NPC474233
0.5156 Remote Similarity NPC607755
0.5152 Remote Similarity NPC488213
0.5147 Remote Similarity NPC475416
0.5088 Remote Similarity NPC480925
0.5088 Remote Similarity NPC48079
0.5085 Remote Similarity NPC78067
0.5085 Remote Similarity NPC144075
0.5085 Remote Similarity NPC278091
0.5085 Remote Similarity NPC301226

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC310482 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