Natural Product: NPC475429

Natural Product IDNPC475429
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
DNJAELNMUOPDRL-LYPNJOJLSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL505473
PubChem CID 44561295
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 DNJAELNMUOPDRL-LYPNJOJLSA-N
Standard InCHI InChI=1S/C38H40O9/c1-23-21-22-28(44-33(40)25-15-9-6-10-16-25)37(5)32(46-35(42)27-19-13-8-14-20-27)30(45-34(41)26-17-11-7-12-18-26)29-31(43-24(2)39)38(23,37)47-36(29,3)4/h6-20,23,28-32H,21-22H2,1-5H3/t23-,28+,29-,30-,31-,32+,37+,38-/m1/s1
SMILES CC(=O)O[C@@H]1[C@H]2[C@@H](OC(=O)c3ccccc3)[C@@H]([C@]3([C@@]1(OC2(C)C)[C@H](C)CC[C@@H]3OC(=O)c1ccccc1)C)OC(=O)c1ccccc1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   640.27 Volume:   659.303
?
Van der Waals volume.
Dense:   0.971 LogP:   4.753
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.996
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.923
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   36.0
TPSA:   114.43
?
Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   0.0 Rings:   6.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.22 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   5.574 Fsp3:   0.421
MCE-18:   176.296
?
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:   0.961 Fluc inhibitor:   0.323
?
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:   0.224
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.287 Promiscuous compounds:   0.046

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.181 MDCK Permeability:   -4.788
Pgp-inhibitor:   1.0 Pgp-substrate:   0.136
PAMPA:   0.022
?
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%):   0.066 30% Bioavailability (F30%):   0.417
50% Bioavailability (F50%):   0.988

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.727 MRP1:   1.0
Plasma Protein Binding (PPB):   97.212% Volume Distribution (VD):   -0.423
Fu: 2.227%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.965 BCRP inhibitor:   0.262
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.972
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.572
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.035 CYP3A4-substrate:   0.46
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.986
?
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):  5.564 Half-life (T1/2):  0.473

ADMET: Toxicity

hERG Blockers:  0.153 hERG Blockers (10um):  0.848
Human Hepatotoxicity (H-HT):  0.048 Drug-induced Liver Injury (DILI):  0.843
AMES Toxicity:  0.174 Rat Oral Acute Toxicity:  0.088
Maximum Recommended Daily Dose:  0.204 Skin Sensitization:  0.976
Carcinogencity:  0.555 Eye Corrosion:  0.001
Eye Irritation:  0.557 Respiratory Toxicity:  0.089
Drug-induced Neurotoxicity:  0.608 Ototoxicity:  0.19
Hematotoxicity:  0.019 Drug-induced Nephrotoxicity:  0.367
Genotoxicity:  0.025 RPMI-8226 Immunitoxicity:  0.027
A549 Cytotoxicity:  0.111 Hek293 Cytotoxicity:  0.244
BCF:   1.044
?
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:   4.545
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.898
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.662
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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[19805556]

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 NPC475429 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
0.9286 High Similarity NPC211137
0.9286 High Similarity NPC476094
0.8621 High Similarity NPC66761
0.8621 High Similarity NPC483843
0.8387 Intermediate Similarity NPC473758
0.75 Intermediate Similarity NPC483845
0.7042 Intermediate Similarity NPC212768
0.697 Remote Similarity NPC90257
0.697 Remote Similarity NPC69357
0.6761 Remote Similarity NPC483849
0.6667 Remote Similarity NPC483844
0.6615 Remote Similarity NPC481047
0.6615 Remote Similarity NPC481045
0.6575 Remote Similarity NPC4421
0.6562 Remote Similarity NPC183122
0.6562 Remote Similarity NPC474608
0.6447 Remote Similarity NPC473115
0.6418 Remote Similarity NPC475759
0.6389 Remote Similarity NPC483848
0.6308 Remote Similarity NPC283375
0.6176 Remote Similarity NPC241951
0.6176 Remote Similarity NPC90614
0.6143 Remote Similarity NPC147217
0.6143 Remote Similarity NPC137718
0.6143 Remote Similarity NPC148062
0.6111 Remote Similarity NPC609924
0.6087 Remote Similarity NPC51314
0.6 Remote Similarity NPC147880
0.597 Remote Similarity NPC301556
0.5942 Remote Similarity NPC483847
0.5942 Remote Similarity NPC483862
0.589 Remote Similarity NPC252314
0.5857 Remote Similarity NPC281717
0.5833 Remote Similarity NPC473088
0.5775 Remote Similarity NPC48017
0.5735 Remote Similarity NPC473081
0.5735 Remote Similarity NPC195647
0.5714 Remote Similarity NPC470152
0.5658 Remote Similarity NPC481050
0.5641 Remote Similarity NPC479040
0.5634 Remote Similarity NPC473060
0.5634 Remote Similarity NPC17877
0.5584 Remote Similarity NPC483887
0.5584 Remote Similarity NPC158020
0.5571 Remote Similarity NPC118080
0.5556 Remote Similarity NPC246480
0.5556 Remote Similarity NPC163719
0.5556 Remote Similarity NPC95810
0.5513 Remote Similarity NPC603877
0.5507 Remote Similarity NPC200592
0.5507 Remote Similarity NPC270498
0.5507 Remote Similarity NPC610542
0.5479 Remote Similarity NPC483842
0.5467 Remote Similarity NPC479043
0.5455 Remote Similarity NPC481065
0.5455 Remote Similarity NPC609221
0.5441 Remote Similarity NPC147561
0.5417 Remote Similarity NPC483886
0.5395 Remote Similarity NPC210591
0.5342 Remote Similarity NPC483883
0.5342 Remote Similarity NPC151585
0.5342 Remote Similarity NPC200471
0.5342 Remote Similarity NPC472575
0.5325 Remote Similarity NPC475652
0.5263 Remote Similarity NPC57628
0.5205 Remote Similarity NPC163087
0.52 Remote Similarity NPC471104
0.519 Remote Similarity NPC475039
0.5132 Remote Similarity NPC306146
0.5132 Remote Similarity NPC483841
0.5125 Remote Similarity NPC475122
0.5125 Remote Similarity NPC608007
0.507 Remote Similarity NPC100913
0.5065 Remote Similarity NPC11685

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC475429 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