Natural Product: NPC36021

Natural Product IDNPC36021
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
HJXBCJUBOCBSHO-HUDRDOLLSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 56640968
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001550] Sesquiterpenoids
          • [CHEMONTID:0002051] Agarofurans

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 HJXBCJUBOCBSHO-HUDRDOLLSA-N
Standard InCHI InChI=1S/C29H34O8/c1-17-13-22(34-18(2)30)24(36-26(32)20-11-12-33-16-20)28(5)23(35-25(31)19-9-7-6-8-10-19)14-21-15-29(17,28)37-27(21,3)4/h6-12,16-17,21-24H,13-15H2,1-5H3/t17-,21-,22-,23+,24+,28-,29+/m1/s1
SMILES C[C@@H]1C[C@H]([C@@H]([C@@]2(C)[C@H](C[C@@H]3C[C@]12OC3(C)C)OC(=O)c1ccccc1)OC(=O)c1ccoc1)OC(=O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   510.23 Volume:   516.588
?
Van der Waals volume.
Dense:   0.988 LogP:   3.611
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.542
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.86
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   28.0
TPSA:   101.27
?
Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   0.0 Rings:   5.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.411 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.712 Fsp3:   0.552
MCE-18:   152.622
?
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:   0.564 Fluc inhibitor:   0.158
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.009
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.021
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.226 Promiscuous compounds:   0.105

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.177 MDCK Permeability:   -4.744
Pgp-inhibitor:   0.988 Pgp-substrate:   0.596
PAMPA:   0.206
?
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%):   0.316
50% Bioavailability (F50%):   0.97

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.793 MRP1:   0.999
Plasma Protein Binding (PPB):   93.639% Volume Distribution (VD):   -0.031
Fu: 5.374%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.987
OATP1B3 inhibitor:   0.423 BCRP inhibitor:   0.504
BSEP inhibitor:   0.993

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.782
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.032
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.007
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.01
CYP3A4-inhibitor:   0.927 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.984
?
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):  6.319 Half-life (T1/2):  0.549

ADMET: Toxicity

hERG Blockers:  0.159 hERG Blockers (10um):  0.71
Human Hepatotoxicity (H-HT):  0.081 Drug-induced Liver Injury (DILI):  0.96
AMES Toxicity:  0.31 Rat Oral Acute Toxicity:  0.403
Maximum Recommended Daily Dose:  0.781 Skin Sensitization:  0.873
Carcinogencity:  0.815 Eye Corrosion:  0.001
Eye Irritation:  0.598 Respiratory Toxicity:  0.36
Drug-induced Neurotoxicity:  0.509 Ototoxicity:  0.184
Hematotoxicity:  0.03 Drug-induced Nephrotoxicity:  0.394
Genotoxicity:  0.535 RPMI-8226 Immunitoxicity:  0.066
A549 Cytotoxicity:  0.231 Hek293 Cytotoxicity:  0.299
BCF:   0.989
?
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:   4.057
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.421
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.065
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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
NPO26437 Maytenus jelskii Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[20146433]
NPO26437 Maytenus jelskii Species Celastraceae Eukaryota fruits n.a. n.a. PMID[21856049]
NPO26437 Maytenus jelskii Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[27541714]
NPO40471 Celastrus subspicata Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[28548851]
NPO26437 Maytenus jelskii Species Celastraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO26437 Maytenus jelskii Species Celastraceae 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
NPT2 Others Unspecified n.a. IC50 = 34500.0 nM PMID[28548851]

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 NPC36021 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
0.875 High Similarity NPC481070
0.8125 Intermediate Similarity NPC481066
0.7703 Intermediate Similarity NPC276735
0.7639 Intermediate Similarity NPC481071
0.7465 Intermediate Similarity NPC66985
0.7432 Intermediate Similarity NPC481068
0.7143 Intermediate Similarity NPC481069
0.6338 Remote Similarity NPC156077
0.6081 Remote Similarity NPC243165
0.6 Remote Similarity NPC483879
0.5972 Remote Similarity NPC147561
0.5775 Remote Similarity NPC481065
0.5765 Remote Similarity NPC56953
0.5682 Remote Similarity NPC86800
0.5679 Remote Similarity NPC214550
0.5647 Remote Similarity NPC483872
0.5625 Remote Similarity NPC481061
0.5584 Remote Similarity NPC481067
0.5581 Remote Similarity NPC473089
0.5581 Remote Similarity NPC483874
0.5412 Remote Similarity NPC608007
0.5294 Remote Similarity NPC483887
0.5294 Remote Similarity NPC158020
0.5275 Remote Similarity NPC294512
0.5275 Remote Similarity NPC479045
0.5195 Remote Similarity NPC195647
0.5195 Remote Similarity NPC200592
0.5195 Remote Similarity NPC610542
0.519 Remote Similarity NPC37641
0.519 Remote Similarity NPC473860
0.5125 Remote Similarity NPC472577
0.5109 Remote Similarity NPC176413
0.5057 Remote Similarity NPC14499
0.5053 Remote Similarity NPC483891

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC36021 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