Natural Product: NPC491020

Natural Product IDNPC491020
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Zeaxanthin
IUPAC Name (1R)-4-[(1E,3E,5E,7E,9E,11E,13E,15E,17E)-18-[(4R)-4-hydroxy-2,6,6-trimethylcyclohexen-1-yl]-3,7,12,16-tetramethyloctadeca-1,3,5,7,9,11,13,15,17-nonaenyl]-3,5,5-trimethylcyclohex-3-en-1-ol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 5280899
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001554] Tetraterpenoids
          • [CHEMONTID:0001277] Carotenoids
            • [CHEMONTID:0001410] Xanthophylls

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 JKQXZKUSFCKOGQ-QAYBQHTQSA-N
Standard InCHI InChI=1S/C40H56O2/c1-29(17-13-19-31(3)21-23-37-33(5)25-35(41)27-39(37,7)8)15-11-12-16-30(2)18-14-20-32(4)22-24-38-34(6)26-36(42)28-40(38,9)10/h11-24,35-36,41-42H,25-28H2,1-10H3/b12-11+,17-13+,18-14+,23-21+,24-22+,29-15+,30-16+,31-19+,32-20+/t35-,36-/m1/s1
SMILES CC1=C(C(C[C@@H](C1)O)(C)C)/C=C/C(=C/C=C/C(=C/C=C/C=C(/C=C/C=C(/C=C/C2=C(C[C@H](CC2(C)C)O)C)\C)\C)/C)/C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   568.43 Volume:   671.862
?
Van der Waals volume.
Dense:   0.846 LogP:   5.193
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.046
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.052
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   21.0
TPSA:   40.46
?
Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   2.0 Rings:   2.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.257 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.577 Fsp3:   0.45
MCE-18:   50.069
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   1.0 Fluc inhibitor:   0.657
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.067
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.02
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.666 Promiscuous compounds:   0.239

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.069 MDCK Permeability:   -4.803
Pgp-inhibitor:   0.059 Pgp-substrate:   0.998
PAMPA:   0.96
?
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%):   0.666 30% Bioavailability (F30%):   0.71
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.906
Plasma Protein Binding (PPB):   92.477% Volume Distribution (VD):   0.173
Fu: 9.874%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.995 BCRP inhibitor:   0.123
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.002 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.227
CYP2D6-inhibitor:   0.001 CYP2D6-substrate:   0.001
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.992
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.999
HLM stability:   0.434
?
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):  9.269 Half-life (T1/2):  0.602

ADMET: Toxicity

hERG Blockers:  0.119 hERG Blockers (10um):  0.237
Human Hepatotoxicity (H-HT):  0.487 Drug-induced Liver Injury (DILI):  0.301
AMES Toxicity:  0.703 Rat Oral Acute Toxicity:  0.405
Maximum Recommended Daily Dose:  0.925 Skin Sensitization:  0.982
Carcinogencity:  0.772 Eye Corrosion:  0.001
Eye Irritation:  0.344 Respiratory Toxicity:  0.542
Drug-induced Neurotoxicity:  0.635 Ototoxicity:  0.872
Hematotoxicity:  0.33 Drug-induced Nephrotoxicity:  0.954
Genotoxicity:  0.158 RPMI-8226 Immunitoxicity:  0.137
A549 Cytotoxicity:  0.255 Hek293 Cytotoxicity:  0.549
BCF:   2.587
?
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:   4.645
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.221
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.881
?
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
NPO41688 Escherichia coli JCL260 [alsS, kivD, ilvC, ilvD, adhA adhE frdBC fnr ldhA pta pflB] Strain Enterobacteriaceae Bacteria n.a. n.a. n.a. PMID[21547458]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. PMID[28684180]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. PMID[31624503]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. PMID[32840573]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. PMID[32923433]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. PMID[33605546]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. PMID[33938153]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. PMID[36867718]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1007/s00253-019-09627-z]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1007/s00253-019-09735-w]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1007/s12257-018-0497-9]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1016/j.bej.2018.05.023]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1016/j.biortech.2022.128178]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1016/j.ces.2018.10.052]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1016/j.ces.2020.115529]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1016/j.jbiotec.2018.07.001]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1016/j.jbiotec.2018.11.009]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1016/j.mec.2019.e00121]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1016/j.mec.2022.e00197]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1016/j.synbio.2017.10.002]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1016/j.ymben.2016.07.001]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1016/j.ymben.2017.04.004]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1016/j.ymben.2019.05.002]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1016/j.ymben.2021.03.010]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1016/j.ymben.2022.06.001]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1021/acs.jafc.0c06504]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1021/acssynbio.1c00480]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1039/D0GC03180A]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1128/AEM]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1186/s12934-018-0984-x]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1186/s12934-019-1127-8]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1186/s12934-019-1136-7]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1186/s12934-020-01309-0]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1186/s13068-016-0593-z]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.1186/s13068-020-01773-1]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.3389/fmicb.2021.699235]
NPO65069 A new engineered strain of Yarrowia lipolytica Species n.a. n.a. n.a. n.a. n.a. DOI[https://doi.org/10.3390/microorganisms7100472]

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

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
- Rattus norvegicus NOAEL = 150.0 mg/kg-day ToxVal

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 NPC491020 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
1.0 High Similarity NPC45782
0.8108 Intermediate Similarity NPC606837
0.7381 Intermediate Similarity NPC607338
0.7209 Intermediate Similarity NPC171148
0.7209 Intermediate Similarity NPC313179
0.7209 Intermediate Similarity NPC69383
0.7209 Intermediate Similarity NPC183736
0.5714 Remote Similarity NPC74086
0.5676 Remote Similarity NPC17810
0.5676 Remote Similarity NPC606095
0.5238 Remote Similarity NPC55412
0.5238 Remote Similarity NPC249645

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC491020 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
0.7209 Intermediate Similarity NPD8264 Approved
0.5714 Remote Similarity NPD8259 Clinical (unspecified phase)
0.5676 Remote Similarity NPD8262 Phase 4
0.5238 Remote Similarity NPD4219 Phase 4

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