Natural Product: NPC114927

Natural Product IDNPC114927
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
AHOFVTNVINYGSD-ZJOPKJPFSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3609590
PubChem CID n.a.
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 AHOFVTNVINYGSD-ZJOPKJPFSA-N
Standard InCHI InChI=1S/C35H40O7/c1-23-20-28(40-30(37)18-16-25-12-8-6-9-13-25)32(39-24(2)36)34(5)29(21-27-22-35(23,34)42-33(27,3)4)41-31(38)19-17-26-14-10-7-11-15-26/h6-19,23,27-29,32H,20-22H2,1-5H3/b18-16+,19-17+/t23-,27-,28+,29+,32+,34-,35+/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)/C=C/c1ccccc1)OC(=O)C)OC(=O)/C=C/c1ccccc1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   572.28 Volume:   603.664
?
Van der Waals volume.
Dense:   0.948 LogP:   4.565
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.77
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.944
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The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   31.0
TPSA:   88.13
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Topological Polar Surface Area.
H-Bond Acceptor:   7.0
H-Bond Donor:   0.0 Rings:   5.0
Heavy Atoms:   7.0

MedChem Properties

QED Drug-Likeness Score:   0.223 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.704 Fsp3:   0.457
MCE-18:   150.667
?
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:   0.987 Fluc inhibitor:   0.999
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.041
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.593
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.298 Promiscuous compounds:   0.282

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.051 MDCK Permeability:   -4.657
Pgp-inhibitor:   1.0 Pgp-substrate:   0.002
PAMPA:   0.06
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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%):   0.477 30% Bioavailability (F30%):   0.889
50% Bioavailability (F50%):   0.987

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.366 MRP1:   0.058
Plasma Protein Binding (PPB):   96.637% Volume Distribution (VD):   -0.102
Fu: 2.702%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.998 BCRP inhibitor:   0.006
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.999
CYP2C9-inhibitor:   0.001 CYP2C9-substrate:   0.115
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.214
?
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):  8.185 Half-life (T1/2):  0.597

ADMET: Toxicity

hERG Blockers:  0.293 hERG Blockers (10um):  0.621
Human Hepatotoxicity (H-HT):  0.695 Drug-induced Liver Injury (DILI):  0.738
AMES Toxicity:  0.54 Rat Oral Acute Toxicity:  0.18
Maximum Recommended Daily Dose:  0.943 Skin Sensitization:  0.998
Carcinogencity:  0.2 Eye Corrosion:  0.002
Eye Irritation:  0.259 Respiratory Toxicity:  0.258
Drug-induced Neurotoxicity:  0.805 Ototoxicity:  0.263
Hematotoxicity:  0.122 Drug-induced Nephrotoxicity:  0.839
Genotoxicity:  0.338 RPMI-8226 Immunitoxicity:  0.136
A549 Cytotoxicity:  0.211 Hek293 Cytotoxicity:  0.564
BCF:   1.255
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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:   4.984
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.581
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.327
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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
NPO11250 Celastrus flagellaris Species Celastraceae Eukaryota seeds Jilin, China n.a. PMID[26295746]
NPO11250 Celastrus flagellaris Species Celastraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11250 Celastrus flagellaris Species Celastraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO11250 Celastrus flagellaris Species Celastraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO11250 Celastrus flagellaris 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
NPT519 Cell line SH-SY5Y Homo sapiens Activity = 76.3 % DOI[10.1007/s00044-011-9623-3]
NPT519 Cell line SH-SY5Y Homo sapiens Activity = 87.4 % 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 NPC114927 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
0.9649 High Similarity NPC37641
0.8594 High Similarity NPC473082
0.8308 Intermediate Similarity NPC214550
0.7727 Intermediate Similarity NPC473110
0.7344 Intermediate Similarity NPC84129
0.7231 Intermediate Similarity NPC473860
0.7042 Intermediate Similarity NPC473083
0.6618 Remote Similarity NPC473111
0.6533 Remote Similarity NPC473109
0.6522 Remote Similarity NPC475933
0.6377 Remote Similarity NPC70973
0.5882 Remote Similarity NPC481066
0.5769 Remote Similarity NPC483878
0.5733 Remote Similarity NPC488918
0.5733 Remote Similarity NPC488913
0.5634 Remote Similarity NPC473869
0.5584 Remote Similarity NPC473085
0.5584 Remote Similarity NPC473112
0.5513 Remote Similarity NPC481050
0.55 Remote Similarity NPC25768
0.5385 Remote Similarity NPC607428
0.5316 Remote Similarity NPC609221
0.5294 Remote Similarity NPC86800
0.5263 Remote Similarity NPC473889
0.5244 Remote Similarity NPC469349
0.52 Remote Similarity NPC473870
0.5172 Remote Similarity NPC483873
0.5135 Remote Similarity NPC311175
0.5067 Remote Similarity NPC470158

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC114927 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