Natural Product: NPC531778

Natural Product IDNPC531778
Common Name
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The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Ieodoglycolipid
IUPAC Name [2-hydroxy-3-[(2~{R},3~{R},4~{S},5~{S},6~{R})-3,4,5-trihydroxy-6-[[(2~{R},3~{R},4~{S},5~{S},6~{R})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxymethyl]tetrahydropyran-2-yl]oxy-propyl] pentadecanoate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000175] Glycerolipids
        • [CHEMONTID:0000637] Glycosylglycerols
          • [CHEMONTID:0003819] Glycosylmonoradylglycerols
            • [CHEMONTID:0001773] Glycosylmonoacylglycerols

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 IFYNBGBUZQDHRB-CHRFOQCRSA-N
Standard InCHI InChI=1S/C30H56O14/c1-2-3-4-5-6-7-8-9-10-11-12-13-14-22(33)40-16-19(32)17-41-29-28(39)26(37)24(35)21(44-29)18-42-30-27(38)25(36)23(34)20(15-31)43-30/h19-21,23-32,34-39H,2-18H2,1H3/t19?,20-,21-,23-,24-,25+,26+,27-,28-,29-,30-/m1/s1
SMILES CCCCCCCCCCCCCCC(=O)OCC(O)CO[C@@H]1O[C@H](CO[C@@H]2O[C@H](CO)[C@@H](O)[C@H](O)[C@H]2O)[C@@H](O)[C@H](O)[C@H]1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   640.37 Volume:   630.75
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Van der Waals volume.
Dense:   1.015 LogP:   2.17
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.221
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.945
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The logarithm of aqueous solubility value.
Rotatable Bonds:   23.0 Rigid Bonds:   13.0
TPSA:   225.06
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Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   8.0 Rings:   2.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.056 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.62 Fsp3:   0.967
MCE-18:   42.102
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.636 Fluc inhibitor:   0.001
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.009
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.003
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.291 Promiscuous compounds:   0.023

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.417 MDCK Permeability:   -4.809
Pgp-inhibitor:   0.0 Pgp-substrate:   0.719
PAMPA:   0.542
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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):   0.997
20% Bioavailability (F20%):   0.916 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   0.988

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.591
Plasma Protein Binding (PPB):   93.249% Volume Distribution (VD):   -0.339
Fu: 6.084%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   0.969
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.062
BSEP inhibitor:   0.003

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.063
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.965
HLM stability:   0.001
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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):  1.468 Half-life (T1/2):  1.568

ADMET: Toxicity

hERG Blockers:  0.089 hERG Blockers (10um):  0.142
Human Hepatotoxicity (H-HT):  0.438 Drug-induced Liver Injury (DILI):  0.423
AMES Toxicity:  0.75 Rat Oral Acute Toxicity:  0.0
Maximum Recommended Daily Dose:  0.003 Skin Sensitization:  1.0
Carcinogencity:  0.031 Eye Corrosion:  0.0
Eye Irritation:  0.028 Respiratory Toxicity:  0.005
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.995
Hematotoxicity:  0.15 Drug-induced Nephrotoxicity:  0.804
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.084
A549 Cytotoxicity:  0.814 Hek293 Cytotoxicity:  0.151
BCF:   1.633
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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:   4.736
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.907
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.637
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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
NPO15941 Bacillus licheniformis Species Bacillaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO15941 Bacillus licheniformis Species Bacillaceae Bacteria 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

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 NPC531778 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
0.8571 High Similarity NPC206601
0.7736 Intermediate Similarity NPC285003
0.7547 Intermediate Similarity NPC12040
0.6825 Remote Similarity NPC156089
0.6667 Remote Similarity NPC488690
0.65 Remote Similarity NPC163812
0.6333 Remote Similarity NPC250619
0.6324 Remote Similarity NPC470313
0.6324 Remote Similarity NPC473500
0.6324 Remote Similarity NPC611497
0.6275 Remote Similarity NPC145112
0.6032 Remote Similarity NPC488689
0.6029 Remote Similarity NPC38295
0.5902 Remote Similarity NPC469469
0.5893 Remote Similarity NPC147292
0.5758 Remote Similarity NPC21693
0.5645 Remote Similarity NPC143446
0.55 Remote Similarity NPC241265
0.5467 Remote Similarity NPC22558
0.5395 Remote Similarity NPC476611
0.5333 Remote Similarity NPC76881
0.5294 Remote Similarity NPC236649
0.5273 Remote Similarity NPC606861
0.5273 Remote Similarity NPC607126
0.5185 Remote Similarity NPC268243
0.5152 Remote Similarity NPC294293
0.5143 Remote Similarity NPC110813
0.5102 Remote Similarity NPC323574
0.5077 Remote Similarity NPC83839
0.5067 Remote Similarity NPC475425

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC531778 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
0.5517 Remote Similarity NPD3181 Phase 3

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