Natural Product: NPC469349

Natural Product IDNPC469349
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
RPIUOWOTQONAKE-GVZSNRDBSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1076617
PubChem CID 46880538
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 RPIUOWOTQONAKE-GVZSNRDBSA-N
Standard InCHI InChI=1S/C33H38O9/c1-20(34)39-28-26(36)27(41-29(37)22-14-10-7-11-15-22)31(4)24(40-25(35)17-16-21-12-8-6-9-13-21)18-23-19-33(31,32(28,5)38)42-30(23,2)3/h6-17,23-24,26-28,36,38H,18-19H2,1-5H3/b17-16+/t23-,24+,26+,27+,28+,31-,32+,33-/m1/s1
SMILES CC(=O)OC1C(C(C2(C(CC3CC2(C1(C)O)OC3(C)C)OC(=O)C=CC4=CC=CC=C4)C)OC(=O)C5=CC=CC=C5)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   578.25 Volume:   589.289
?
Van der Waals volume.
Dense:   0.981 LogP:   3.976
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.497
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.93
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   30.0
TPSA:   128.59
?
Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   2.0 Rings:   5.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.298 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.832 Fsp3:   0.485
MCE-18:   164.612
?
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:   0.897 Fluc inhibitor:   0.334
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.037
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.657
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.09 Promiscuous compounds:   0.018

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.483 MDCK Permeability:   -4.969
Pgp-inhibitor:   0.131 Pgp-substrate:   0.217
PAMPA:   0.931
?
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):   0.003
20% Bioavailability (F20%):   0.022 30% Bioavailability (F30%):   0.517
50% Bioavailability (F50%):   0.988

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.156 MRP1:   1.0
Plasma Protein Binding (PPB):   89.815% Volume Distribution (VD):   -0.041
Fu: 9.32%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.049
OATP1B3 inhibitor:   0.736 BCRP inhibitor:   0.002
BSEP inhibitor:   0.986

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.12
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.136
CYP2C9-inhibitor:   0.014 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.029 CYP3A4-substrate:   0.785
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.101
?
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):  1.554 Half-life (T1/2):  1.506

ADMET: Toxicity

hERG Blockers:  0.125 hERG Blockers (10um):  0.727
Human Hepatotoxicity (H-HT):  0.126 Drug-induced Liver Injury (DILI):  0.356
AMES Toxicity:  0.285 Rat Oral Acute Toxicity:  0.162
Maximum Recommended Daily Dose:  0.438 Skin Sensitization:  0.984
Carcinogencity:  0.17 Eye Corrosion:  0.0
Eye Irritation:  0.07 Respiratory Toxicity:  0.046
Drug-induced Neurotoxicity:  0.652 Ototoxicity:  0.778
Hematotoxicity:  0.005 Drug-induced Nephrotoxicity:  0.222
Genotoxicity:  0.028 RPMI-8226 Immunitoxicity:  0.047
A549 Cytotoxicity:  0.151 Hek293 Cytotoxicity:  0.784
BCF:   1.1
?
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:   4.065
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.567
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.133
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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]
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
NPT80 Cell line Raji Homo sapiens Activity = 60.0 % PMID[8411013]
NPT2 Others Unspecified n.a. Activity = 10.9 % DrugMatrix in vitro pharmacology data
NPT2 Others Unspecified n.a. Activity = 52.0 % PMID[23964644]
NPT2 Others Unspecified n.a. Activity = 86.2 % DOI[10.6019/CHEMBL1201861]
NPT2 Others Unspecified n.a. Activity = 100.0 % PubChem BioAssay data set

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 NPC469349 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
0.7564 Intermediate Similarity NPC25768
0.7 Intermediate Similarity NPC483878
0.6264 Remote Similarity NPC483891
0.6098 Remote Similarity NPC214550
0.6047 Remote Similarity NPC483861
0.5795 Remote Similarity NPC188865
0.5795 Remote Similarity NPC171525
0.5714 Remote Similarity NPC86800
0.5682 Remote Similarity NPC174982
0.5618 Remote Similarity NPC184817
0.5506 Remote Similarity NPC483865
0.5455 Remote Similarity NPC483867
0.5435 Remote Similarity NPC470245
0.5426 Remote Similarity NPC483873
0.5393 Remote Similarity NPC483866
0.5393 Remote Similarity NPC473109
0.5309 Remote Similarity NPC84129
0.5301 Remote Similarity NPC475933
0.5281 Remote Similarity NPC472571
0.5275 Remote Similarity NPC483859
0.5253 Remote Similarity NPC483880
0.5253 Remote Similarity NPC156941
0.5244 Remote Similarity NPC37641
0.5244 Remote Similarity NPC114927
0.5244 Remote Similarity NPC483879
0.5222 Remote Similarity NPC70403
0.5222 Remote Similarity NPC177940
0.5222 Remote Similarity NPC605086
0.5165 Remote Similarity NPC483860
0.5114 Remote Similarity NPC473085
0.5111 Remote Similarity NPC470159

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC469349 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