Natural Product: NPC473613

Natural Product IDNPC473613
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
TXQYRZYWFXMOTA-LNDQYQGUSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL447164
PubChem CID 44561297
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 TXQYRZYWFXMOTA-LNDQYQGUSA-N
Standard InCHI InChI=1S/C35H42O8/c1-22-20-28(42-32(38)26-17-11-8-12-18-26)31(41-24(3)37)34(6)29(39-19-13-16-25-14-9-7-10-15-25)21-27-30(40-23(2)36)35(22,34)43-33(27,4)5/h7-18,22,27-31H,19-21H2,1-6H3/b16-13+/t22-,27-,28+,29+,30-,31+,34-,35-/m1/s1
SMILES CC(=O)O[C@@H]1[C@H]2C[C@@H]([C@]3([C@@]1(OC2(C)C)[C@H](C)C[C@@H]([C@@H]3OC(=O)C)OC(=O)c1ccccc1)C)OC/C=C/c1ccccc1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   590.29 Volume:   615.091
?
Van der Waals volume.
Dense:   0.96 LogP:   4.249
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.685
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.567
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   30.0
TPSA:   97.36
?
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:   0.282 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.804 Fsp3:   0.514
MCE-18:   154.528
?
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:   0.689 Fluc inhibitor:   0.412
?
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:   0.164
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.245 Promiscuous compounds:   0.209

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.1 MDCK Permeability:   -4.74
Pgp-inhibitor:   1.0 Pgp-substrate:   0.072
PAMPA:   0.067
?
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%):   0.175 30% Bioavailability (F30%):   0.707
50% Bioavailability (F50%):   0.973

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.335 MRP1:   0.993
Plasma Protein Binding (PPB):   96.513% Volume Distribution (VD):   -0.398
Fu: 3.566%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.998
OATP1B3 inhibitor:   0.944 BCRP inhibitor:   0.045
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.796
CYP2C19-inhibitor:   0.001 CYP2C19-substrate:   0.289
CYP2C9-inhibitor:   0.041 CYP2C9-substrate:   0.923
CYP2D6-inhibitor:   0.47 CYP2D6-substrate:   0.326
CYP3A4-inhibitor:   0.001 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.998
?
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):  7.375 Half-life (T1/2):  0.492

ADMET: Toxicity

hERG Blockers:  0.19 hERG Blockers (10um):  0.707
Human Hepatotoxicity (H-HT):  0.226 Drug-induced Liver Injury (DILI):  0.618
AMES Toxicity:  0.431 Rat Oral Acute Toxicity:  0.257
Maximum Recommended Daily Dose:  0.416 Skin Sensitization:  0.988
Carcinogencity:  0.159 Eye Corrosion:  0.001
Eye Irritation:  0.158 Respiratory Toxicity:  0.182
Drug-induced Neurotoxicity:  0.481 Ototoxicity:  0.402
Hematotoxicity:  0.09 Drug-induced Nephrotoxicity:  0.484
Genotoxicity:  0.096 RPMI-8226 Immunitoxicity:  0.054
A549 Cytotoxicity:  0.19 Hek293 Cytotoxicity:  0.315
BCF:   1.099
?
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:   4.069
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.847
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.356
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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
NPO6349 Celastrus orbiculatus Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[10346948]
NPO6349 Celastrus orbiculatus Species Celastraceae Eukaryota n.a. root n.a. PMID[10346948]
NPO6349 Celastrus orbiculatus Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[11170672]
NPO6349 Celastrus orbiculatus Species Celastraceae Eukaryota n.a. root n.a. PMID[11809076]
NPO6349 Celastrus orbiculatus Species Celastraceae Eukaryota Seeds n.a. n.a. PMID[18507472]
NPO6349 Celastrus orbiculatus Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[23421714]
NPO6349 Celastrus orbiculatus Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[27791375]
NPO6349 Celastrus orbiculatus Species Celastraceae Eukaryota n.a. root n.a. PMID[9461657]
NPO6349 Celastrus orbiculatus Species Celastraceae Eukaryota n.a. n.a. n.a. PMID[9461657]
NPO6349 Celastrus orbiculatus Species Celastraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO6349 Celastrus orbiculatus Species Celastraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO6349 Celastrus orbiculatus Species Celastraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO6349 Celastrus orbiculatus Species Celastraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO6349 Celastrus orbiculatus 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
NPT116 Cell line HL-60 Homo sapiens Activity < 50.0 % PMID[20022253]

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 NPC473613 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
0.8028 Intermediate Similarity NPC473085
0.7727 Intermediate Similarity NPC473081
0.7534 Intermediate Similarity NPC473112
0.7297 Intermediate Similarity NPC607428
0.7206 Intermediate Similarity NPC195647
0.7206 Intermediate Similarity NPC270498
0.6842 Remote Similarity NPC475652
0.6714 Remote Similarity NPC200592
0.6714 Remote Similarity NPC610542
0.6622 Remote Similarity NPC139067
0.6575 Remote Similarity NPC70973
0.6575 Remote Similarity NPC473111
0.6486 Remote Similarity NPC4341
0.6447 Remote Similarity NPC472574
0.64 Remote Similarity NPC473871
0.6282 Remote Similarity NPC184747
0.6184 Remote Similarity NPC67777
0.6184 Remote Similarity NPC43241
0.6053 Remote Similarity NPC479047
0.6053 Remote Similarity NPC191082
0.6053 Remote Similarity NPC291638
0.5926 Remote Similarity NPC481050
0.5875 Remote Similarity NPC210591
0.5833 Remote Similarity NPC483865
0.5823 Remote Similarity NPC479044
0.5783 Remote Similarity NPC475122
0.5783 Remote Similarity NPC88593
0.5769 Remote Similarity NPC177340
0.5732 Remote Similarity NPC609221
0.5696 Remote Similarity NPC473673
0.5676 Remote Similarity NPC474608
0.5595 Remote Similarity NPC14499
0.5529 Remote Similarity NPC605086
0.5526 Remote Similarity NPC481047
0.5526 Remote Similarity NPC481045
0.5488 Remote Similarity NPC214550
0.5443 Remote Similarity NPC483883
0.5443 Remote Similarity NPC151585
0.5263 Remote Similarity NPC283375
0.5263 Remote Similarity NPC183122
0.525 Remote Similarity NPC48017
0.519 Remote Similarity NPC311175
0.5185 Remote Similarity NPC27377
0.5185 Remote Similarity NPC137718
0.5181 Remote Similarity NPC479043
0.5181 Remote Similarity NPC609924
0.5169 Remote Similarity NPC75600
0.5169 Remote Similarity NPC483884
0.5125 Remote Similarity NPC17877
0.5125 Remote Similarity NPC51314
0.5122 Remote Similarity NPC473889
0.506 Remote Similarity NPC41481
0.5056 Remote Similarity NPC188865
0.5056 Remote Similarity NPC184817

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC473613 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