Natural Product: NPC490959

Natural Product IDNPC490959
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
poly-(3-hydroxybutyrate)
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000264] Organic acids and derivatives
      • [CHEMONTID:0000472] Hydroxy acids and derivatives
        • [CHEMONTID:0001713] Beta hydroxy acids and derivatives

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 WHBMMWSBFZVSSR-UHFFFAOYSA-N
Standard InCHI InChI=1S/C4H8O3/c1-3(5)2-4(6)7/h3,5H,2H2,1H3,(H,6,7)
SMILES CC(CC(=O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   104.05 Volume:   101.475
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Van der Waals volume.
Dense:   1.025 LogP:   -0.326
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.065
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   0.769
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The logarithm of aqueous solubility value.
Rotatable Bonds:   2.0 Rigid Bonds:   1.0
TPSA:   57.53
?
Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   2.0 Rings:   0.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.512 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.629 Fsp3:   0.75
MCE-18:   2.0
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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:   Rejected GSK Rule:   Rejected
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.002 Fluc inhibitor:   0.0
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.014
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.001
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.986 Promiscuous compounds:   0.079

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.037 MDCK Permeability:   -4.845
Pgp-inhibitor:   0.0 Pgp-substrate:   0.193
PAMPA:   0.996
?
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):   0.06
20% Bioavailability (F20%):   0.066 30% Bioavailability (F30%):   0.069
50% Bioavailability (F50%):   0.615

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.286 MRP1:   0.95
Plasma Protein Binding (PPB):   5.083% Volume Distribution (VD):   -0.306
Fu: 88.925%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.021
OATP1B3 inhibitor:   0.243 BCRP inhibitor:   0.093
BSEP inhibitor:   0.004

ADMET: Metabolism

CYP1A2-inhibitor:   0.002 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.005 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.959 CYP2C9-substrate:   0.001
CYP2D6-inhibitor:   0.002 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.064 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.002
HLM stability:   0.005
?
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):  2.714 Half-life (T1/2):  2.375

ADMET: Toxicity

hERG Blockers:  0.018 hERG Blockers (10um):  0.09
Human Hepatotoxicity (H-HT):  0.293 Drug-induced Liver Injury (DILI):  0.147
AMES Toxicity:  0.264 Rat Oral Acute Toxicity:  0.135
Maximum Recommended Daily Dose:  0.051 Skin Sensitization:  0.708
Carcinogencity:  0.315 Eye Corrosion:  0.985
Eye Irritation:  0.997 Respiratory Toxicity:  0.375
Drug-induced Neurotoxicity:  0.098 Ototoxicity:  0.409
Hematotoxicity:  0.268 Drug-induced Nephrotoxicity:  0.339
Genotoxicity:  0.025 RPMI-8226 Immunitoxicity:  0.029
A549 Cytotoxicity:  0.005 Hek293 Cytotoxicity:  0.007
BCF:   0.256
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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:   2.212
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   3.155
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   2.775
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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
NPO41467 Ralstonia eutropha MTCC 2487 + Pseudomonas putida MTCC 2475 + Azotobacter vinelandii MTCC 2459 Strain n.a. n.a. n.a. n.a. n.a. DOI[10.1016/j.bej.2019.107334]
NPO41555 Synechococcus elongatus PCC 7942 + Halomonas boliviensis Strain n.a. n.a. n.a. n.a. n.a. PMID[29061492]

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
NPT692 Individual protein Histone deacetylase 6 Homo sapiens Inhibition = -16.64 % HDAC6 screening dataset using tau-based substrate in an enzymatic assay yields selective inhibitors and activators
NPT692 Individual protein Histone deacetylase 6 Homo sapiens Inhibition = -3.88 % HDAC6 screening dataset using tau-based substrate in an enzymatic assay yields selective inhibitors and activators

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT28438 Unchecked Unchecked n.a. IC50 = 2000000.0 nM PMID[34062252]

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 NPC490959 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 NPC250870
1.0 High Similarity NPC191084
0.7059 Intermediate Similarity NPC249126
0.6471 Remote Similarity NPC320704
0.6316 Remote Similarity NPC274550
0.6316 Remote Similarity NPC310220
0.625 Remote Similarity NPC307739
0.625 Remote Similarity NPC76217
0.625 Remote Similarity NPC212144
0.625 Remote Similarity NPC178595
0.6 Remote Similarity NPC327542
0.6 Remote Similarity NPC316685
0.6 Remote Similarity NPC181153
0.5882 Remote Similarity NPC104195
0.5882 Remote Similarity NPC149209
0.5789 Remote Similarity NPC19044
0.5789 Remote Similarity NPC192402
0.5625 Remote Similarity NPC236709
0.5625 Remote Similarity NPC165122
0.5556 Remote Similarity NPC320981
0.55 Remote Similarity NPC270805
0.55 Remote Similarity NPC198126
0.55 Remote Similarity NPC293378
0.55 Remote Similarity NPC93888
0.5294 Remote Similarity NPC159089
0.5263 Remote Similarity NPC174368
0.5263 Remote Similarity NPC222792
0.5263 Remote Similarity NPC5505
0.5263 Remote Similarity NPC66043
0.5263 Remote Similarity NPC316217
0.5263 Remote Similarity NPC602868
0.52 Remote Similarity NPC200618
0.52 Remote Similarity NPC131770
0.52 Remote Similarity NPC90904

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC490959 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
0.625 Remote Similarity NPD8202 Phase 4
0.625 Remote Similarity NPD8205 Phase 4
0.6 Remote Similarity NPD8201 Phase 2
0.5789 Remote Similarity NPD8598 Phase 4
0.5625 Remote Similarity NPD8594 Phase 3
0.5556 Remote Similarity NPD8590 Pre-clinical
0.55 Remote Similarity NPD8618 Phase 4
0.55 Remote Similarity NPD8624 Phase 2
0.55 Remote Similarity NPD9129 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