Natural Product: NPC588788

Natural Product IDNPC588788
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
MG(18:4(6Z,9Z,12Z,15Z)/0:0/0:0)
IUPAC Name [(2~{S})-2,3-dihydroxypropyl] (6~{Z},9~{Z},12~{Z},15~{Z})-octadeca-6,9,12,15-tetraenoate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 YICVZGXPPMTJCG-LIYQNMAISA-N
Standard InCHI InChI=1S/C21H34O4/c1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-21(24)25-19-20(23)18-22/h3-4,6-7,9-10,12-13,20,22-23H,2,5,8,11,14-19H2,1H3/b4-3-,7-6-,10-9-,13-12-/t20-/m0/s1
SMILES CC/C=CC/C=CC/C=CC/C=CCCCCC(=O)OC[C@@H](O)CO

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   350.25 Volume:   393.751
?
Van der Waals volume.
Dense:   0.89 LogP:   4.886
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.378
?
The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.041
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   16.0 Rigid Bonds:   5.0
TPSA:   66.76
?
Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   2.0 Rings:   0.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.263 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.419 Fsp3:   0.571
MCE-18:   2.0
?
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:   0.107 Fluc inhibitor:   0.028
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.005
?
The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.001
?
The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.761 Promiscuous compounds:   0.244

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.046 MDCK Permeability:   -4.781
Pgp-inhibitor:   0.016 Pgp-substrate:   0.003
PAMPA:   0.058
?
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):   0.001
20% Bioavailability (F20%):   0.12 30% Bioavailability (F30%):   0.121
50% Bioavailability (F50%):   0.943

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.179 MRP1:   0.985
Plasma Protein Binding (PPB):   96.991% Volume Distribution (VD):   -0.264
Fu: 4.276%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.01
OATP1B3 inhibitor:   0.238 BCRP inhibitor:   0.521
BSEP inhibitor:   0.998

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.053
CYP2C19-inhibitor:   0.01 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   1.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   1.0 CYP2D6-substrate:   1.0
CYP3A4-inhibitor:   0.002 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.053
?
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):  6.471 Half-life (T1/2):  0.362

ADMET: Toxicity

hERG Blockers:  0.187 hERG Blockers (10um):  0.231
Human Hepatotoxicity (H-HT):  0.001 Drug-induced Liver Injury (DILI):  0.0
AMES Toxicity:  0.973 Rat Oral Acute Toxicity:  0.002
Maximum Recommended Daily Dose:  0.0 Skin Sensitization:  1.0
Carcinogencity:  0.0 Eye Corrosion:  1.0
Eye Irritation:  1.0 Respiratory Toxicity:  0.223
Drug-induced Neurotoxicity:  0.002 Ototoxicity:  0.092
Hematotoxicity:  0.0 Drug-induced Nephrotoxicity:  0.455
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.009
A549 Cytotoxicity:  0.013 Hek293 Cytotoxicity:  0.0
BCF:   1.606
?
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:   4.527
?
48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.903
?
48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.06
?
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
NPO59665 Sargassum sagamianum Species Sargassaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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 NPC588788 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
0.9714 High Similarity NPC271921
0.8649 High Similarity NPC330426
0.8649 High Similarity NPC127091
0.8649 High Similarity NPC22101
0.8378 Intermediate Similarity NPC321919
0.7838 Intermediate Similarity NPC104537
0.7143 Intermediate Similarity NPC473772
0.7027 Intermediate Similarity NPC10316
0.7027 Intermediate Similarity NPC200845
0.7 Intermediate Similarity NPC475443
0.7 Intermediate Similarity NPC473829
0.6829 Remote Similarity NPC209327
0.6667 Remote Similarity NPC273508
0.6585 Remote Similarity NPC476654
0.6585 Remote Similarity NPC476655
0.6585 Remote Similarity NPC476656
0.625 Remote Similarity NPC277597
0.6216 Remote Similarity NPC488257
0.6216 Remote Similarity NPC469937
0.6216 Remote Similarity NPC94699
0.6216 Remote Similarity NPC320588
0.6216 Remote Similarity NPC53463
0.6154 Remote Similarity NPC28779
0.6087 Remote Similarity NPC473559
0.6087 Remote Similarity NPC324981
0.6053 Remote Similarity NPC139545
0.575 Remote Similarity NPC609455
0.5714 Remote Similarity NPC474321
0.5614 Remote Similarity NPC236649
0.5556 Remote Similarity NPC54925
0.5455 Remote Similarity NPC489083
0.5435 Remote Similarity NPC48218
0.5435 Remote Similarity NPC141481
0.5435 Remote Similarity NPC464342
0.5424 Remote Similarity NPC110813
0.5385 Remote Similarity NPC128061
0.525 Remote Similarity NPC39633
0.5227 Remote Similarity NPC81896
0.5167 Remote Similarity NPC133377
0.5161 Remote Similarity NPC38295
0.5085 Remote Similarity NPC21693

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC588788 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
0.6486 Remote Similarity NPD5343 Phase 4
0.6154 Remote Similarity NPD6096 Phase 4
0.5526 Remote Similarity NPD6097 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