Natural Product: NPC39290

Natural Product IDNPC39290
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.
Bathymodiolamide A
IUPAC Name [(2S,3R,4S)-4-(dodecanoylamino)-2-[(6Z,9Z,12Z)-hexadeca-6,9,12-trienoyl]oxy-3,5-dihydroxypentyl] hexadecanoate
Synonyms Bathymodiolamide A
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1773151
PubChem CID 54585951
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0003909] Fatty Acyls
        • [CHEMONTID:0000324] Fatty acid esters

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 ZWRWCDYNQPJUJY-MWNPFMMGSA-N
Standard InCHI InChI=1S/C49H89NO7/c1-4-7-10-13-16-19-21-23-25-28-31-34-37-40-47(53)56-43-45(57-48(54)41-38-35-32-29-26-24-22-20-17-14-11-8-5-2)49(55)44(42-51)50-46(52)39-36-33-30-27-18-15-12-9-6-3/h11,14,20,22,26,29,44-45,49,51,55H,4-10,12-13,15-19,21,23-25,27-28,30-43H2,1-3H3,(H,50,52)/b14-11-,22-20-,29-26-/t44-,45-,49+/m0/s1
SMILES CCCCCCCCCCCC(=N[C@H]([C@H]([C@@H](OC(=O)CCCC/C=CC/C=CC/C=CCCC)COC(=O)CCCCCCCCCCCCCCC)O)CO)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   803.66 Volume:   912.769
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Van der Waals volume.
Dense:   0.88 LogP:   13.412
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   5.839
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -7.03
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The logarithm of aqueous solubility value.
Rotatable Bonds:   44.0 Rigid Bonds:   6.0
TPSA:   125.65
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Topological Polar Surface Area.
H-Bond Acceptor:   8.0
H-Bond Donor:   3.0 Rings:   0.0
Heavy Atoms:   8.0

MedChem Properties

QED Drug-Likeness Score:   0.018 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.534 Fsp3:   0.816
MCE-18:   6.0
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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:   0.704 Fluc inhibitor:   0.055
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.001
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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:   0.351 Promiscuous compounds:   0.653

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.072 MDCK Permeability:   -4.702
Pgp-inhibitor:   0.0 Pgp-substrate:   0.002
PAMPA:   0.0
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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):   0.739
20% Bioavailability (F20%):   0.998 30% Bioavailability (F30%):   1.0
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.999
Plasma Protein Binding (PPB):   99.207% Volume Distribution (VD):   0.886
Fu: 0.616%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   0.023
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.487
BSEP inhibitor:   0.993

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.04 CYP2C19-substrate:   0.972
CYP2C9-inhibitor:   1.0 CYP2C9-substrate:   0.441
CYP2D6-inhibitor:   0.999 CYP2D6-substrate:   1.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.064 CYP2C8-inhibitor:   1.0
HLM stability:   0.01
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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):  3.913 Half-life (T1/2):  2.461

ADMET: Toxicity

hERG Blockers:  0.799 hERG Blockers (10um):  0.731
Human Hepatotoxicity (H-HT):  0.384 Drug-induced Liver Injury (DILI):  0.0
AMES Toxicity:  0.179 Rat Oral Acute Toxicity:  0.003
Maximum Recommended Daily Dose:  0.001 Skin Sensitization:  1.0
Carcinogencity:  0.001 Eye Corrosion:  0.998
Eye Irritation:  0.999 Respiratory Toxicity:  0.989
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.172
Hematotoxicity:  0.0 Drug-induced Nephrotoxicity:  0.764
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.019
A549 Cytotoxicity:  0.971 Hek293 Cytotoxicity:  0.01
BCF:   -0.693
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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:   4.526
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.884
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   1.031
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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
NPO5885 Bathymodiolus thermophilus Species Mytilidae Eukaryota n.a. gill n.a. PMID[21222464]
NPO5885 Bathymodiolus thermophilus Species Mytilidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO5885 Bathymodiolus thermophilus Species Mytilidae 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
NPT165 Cell line HeLa Homo sapiens IC50 = 400.0 nM PMID[21222464]
NPT83 Cell line MCF7 Homo sapiens IC50 = 100.0 nM PMID[21222464]

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 NPC39290 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
0.9322 High Similarity NPC159369
0.5902 Remote Similarity NPC473559
0.5902 Remote Similarity NPC324981
0.5429 Remote Similarity NPC489083
0.541 Remote Similarity NPC48218
0.541 Remote Similarity NPC141481
0.541 Remote Similarity NPC464342
0.5333 Remote Similarity NPC330426
0.5333 Remote Similarity NPC127091
0.5333 Remote Similarity NPC22101
0.5246 Remote Similarity NPC54925
0.5238 Remote Similarity NPC103712
0.5161 Remote Similarity NPC99959
0.5161 Remote Similarity NPC291196
0.5161 Remote Similarity NPC489236
0.5161 Remote Similarity NPC489237

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC39290 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