Natural Product: NPC232295

Natural Product IDNPC232295
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Sargachromanol C
IUPAC Name (2R)-2-[(3E,7E,9R)-9-hydroxy-4,8,12-trimethyltrideca-3,7,11-trienyl]-2,8-dimethyl-3,4-dihydrochromen-6-ol
Synonyms Sargachromanol C
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL465201
PubChem CID 11177417
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001534] Quinone and hydroquinone lipids
          • [CHEMONTID:0001546] Vitamin E compounds
            • [CHEMONTID:0002092] Tocotrienols

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 RFIIOYJLKCYOCK-PUMPRSRSSA-N
Standard InCHI InChI=1S/C27H40O3/c1-19(2)12-13-25(29)21(4)11-7-9-20(3)10-8-15-27(6)16-14-23-18-24(28)17-22(5)26(23)30-27/h10-12,17-18,25,28-29H,7-9,13-16H2,1-6H3/b20-10+,21-11+/t25-,27-/m1/s1
SMILES C/C(=CCC[C@]1(C)CCc2c(O1)c(C)cc(c2)O)/CC/C=C(/[C@@H](CC=C(C)C)O)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   412.3 Volume:   468.987
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Van der Waals volume.
Dense:   0.879 LogP:   5.879
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.933
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.409
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The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   14.0
TPSA:   49.69
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Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   2.0 Rings:   2.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.431 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.035 Fsp3:   0.556
MCE-18:   53.429
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.982 Fluc inhibitor:   0.002
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.059
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.076
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.432 Promiscuous compounds:   0.051

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.722 MDCK Permeability:   -4.673
Pgp-inhibitor:   0.847 Pgp-substrate:   0.002
PAMPA:   0.012
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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%):   0.025 30% Bioavailability (F30%):   0.008
50% Bioavailability (F50%):   0.939

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.008 MRP1:   0.982
Plasma Protein Binding (PPB):   94.152% Volume Distribution (VD):   0.235
Fu: 5.553%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.999 BCRP inhibitor:   0.0
BSEP inhibitor:   0.999

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.078
CYP2C19-inhibitor:   0.006 CYP2C19-substrate:   0.168
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.012
CYP2D6-inhibitor:   0.926 CYP2D6-substrate:   0.065
CYP3A4-inhibitor:   0.065 CYP3A4-substrate:   0.704
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.989
?
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):  7.372 Half-life (T1/2):  0.955

ADMET: Toxicity

hERG Blockers:  0.447 hERG Blockers (10um):  0.761
Human Hepatotoxicity (H-HT):  0.76 Drug-induced Liver Injury (DILI):  0.013
AMES Toxicity:  0.104 Rat Oral Acute Toxicity:  0.151
Maximum Recommended Daily Dose:  0.645 Skin Sensitization:  0.986
Carcinogencity:  0.108 Eye Corrosion:  0.0
Eye Irritation:  0.142 Respiratory Toxicity:  0.653
Drug-induced Neurotoxicity:  0.094 Ototoxicity:  0.678
Hematotoxicity:  0.141 Drug-induced Nephrotoxicity:  0.327
Genotoxicity:  0.232 RPMI-8226 Immunitoxicity:  0.103
A549 Cytotoxicity:  0.217 Hek293 Cytotoxicity:  0.506
BCF:   2.346
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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:   5.498
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.845
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.495
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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
NPO11479 Sargassum siliquastrum Species Sargassaceae Eukaryota n.a. n.a. n.a. PMID[15921416]
NPO11479 Sargassum siliquastrum Species Sargassaceae Eukaryota n.a. subtidal zone (0-2 m) off the southwestern shore of Jeju Island, Korea 2003-Apr PMID[18817444]
NPO11479 Sargassum siliquastrum Species Sargassaceae Eukaryota n.a. n.a. n.a. PMID[19006667]
NPO11479 Sargassum siliquastrum Species Sargassaceae Eukaryota n.a. n.a. n.a. PMID[21377877]
NPO11479 Sargassum siliquastrum Species Sargassaceae Eukaryota n.a. n.a. n.a. PMID[28720331]
NPO11479 Sargassum siliquastrum Species Sargassaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO11479 Sargassum siliquastrum Species Sargassaceae 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
NPT1087 Individual protein Isocitrate lyase Candida albicans IC50 > 200.0 ug.mL-1 DrugMatrix in vitro pharmacology data

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT34 Cell line BV-2 Mus musculus IC50 = 18000.0 nM PMID[37137291]
NPT34 Cell line BV-2 Mus musculus CC50 > 50000.0 nM PMID[37137291]
NPT729 Organism Micrococcus luteus Micrococcus luteus MIC > 100.0 ug.mL-1 PMID[22283497]
NPT566 Organism Salmonella typhimurium Salmonella enterica subsp. enterica serovar Typhimurium MIC > 100.0 ug.mL-1 PMID[24088190]
NPT79 Organism Bacillus subtilis Bacillus subtilis MIC > 100.0 ug.mL-1 PMID[18077363]
NPT1 Others Radical scavenging activity n.a. Activity = 90.5 % PMID[17850214]
NPT16 Organism Staphylococcus aureus Staphylococcus aureus MIC > 100.0 ug.mL-1 PMID[19877653]
NPT766 Organism Proteus vulgaris Proteus vulgaris MIC > 100.0 ug.mL-1 PMID[16539395]
NPT19 Organism Escherichia coli Escherichia coli MIC > 100.0 ug.mL-1 PMID[17438054]
NPT2 Others Unspecified n.a. IC50 = 83100.0 nM PMID[11421737]

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 NPC232295 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
0.8136 Intermediate Similarity NPC69539
0.8 Intermediate Similarity NPC204535
0.8 Intermediate Similarity NPC46586
0.7879 Intermediate Similarity NPC59654
0.7619 Intermediate Similarity NPC32152
0.7612 Intermediate Similarity NPC271832
0.7538 Intermediate Similarity NPC610467
0.7344 Intermediate Similarity NPC147896
0.7206 Intermediate Similarity NPC474131
0.7101 Intermediate Similarity NPC601388
0.7059 Intermediate Similarity NPC611336
0.7042 Intermediate Similarity NPC474130
0.6957 Remote Similarity NPC609807
0.6857 Remote Similarity NPC600119
0.6714 Remote Similarity NPC185634
0.6667 Remote Similarity NPC474237
0.6667 Remote Similarity NPC603704
0.6571 Remote Similarity NPC276962
0.6571 Remote Similarity NPC190086
0.6486 Remote Similarity NPC474143
0.6438 Remote Similarity NPC610755
0.6351 Remote Similarity NPC474246
0.6324 Remote Similarity NPC606596
0.6164 Remote Similarity NPC609806
0.6119 Remote Similarity NPC45663
0.6081 Remote Similarity NPC196621
0.6053 Remote Similarity NPC609153
0.5921 Remote Similarity NPC475880
0.5833 Remote Similarity NPC483459
0.5833 Remote Similarity NPC483457
0.5833 Remote Similarity NPC483456
0.5833 Remote Similarity NPC483458
0.5441 Remote Similarity NPC139047
0.5263 Remote Similarity NPC479050
0.5211 Remote Similarity NPC469907
0.5072 Remote Similarity NPC187993
0.5072 Remote Similarity NPC238176
0.5065 Remote Similarity NPC483461

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC232295 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
0.597 Remote Similarity NPD6671 Approved

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