Natural Product: NPC605730

Natural Product IDNPC605730
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
MHBLZJBTUXXBHD-UHFFFAOYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL5278310
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 MHBLZJBTUXXBHD-UHFFFAOYSA-N
Standard InCHI InChI=1S/C31H20O9/c1-38-29-9-16(3-7-25(29)34)23-14-40-28-12-26(35)20(11-21(28)31(23)37)19-8-15(2-6-24(19)33)22-13-39-27-10-17(32)4-5-18(27)30(22)36/h2-14,32-35H,1H3
SMILES COc1cc(-c2coc3cc(O)c(-c4cc(-c5coc6cc(O)ccc6c5=O)ccc4O)cc3c2=O)ccc1O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   536.11 Volume:   530.322
?
Van der Waals volume.
Dense:   1.011 LogP:   3.39
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.515
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -5.036
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The logarithm of aqueous solubility value.
Rotatable Bonds:   4.0 Rigid Bonds:   36.0
TPSA:   150.57
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Topological Polar Surface Area.
H-Bond Acceptor:   9.0
H-Bond Donor:   4.0 Rings:   6.0
Heavy Atoms:   9.0

MedChem Properties

QED Drug-Likeness Score:   0.221 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.909 Fsp3:   0.032
MCE-18:   35.0
?
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:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.999 Fluc inhibitor:   0.793
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.956
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.973
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.584 Promiscuous compounds:   0.635

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.133 MDCK Permeability:   -4.813
Pgp-inhibitor:   0.001 Pgp-substrate:   0.237
PAMPA:   0.901
?
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):   0.011
20% Bioavailability (F20%):   0.939 30% Bioavailability (F30%):   0.987
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.556
Plasma Protein Binding (PPB):   95.362% Volume Distribution (VD):   -0.519
Fu: 4.992%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.955
OATP1B3 inhibitor:   0.997 BCRP inhibitor:   0.991
BSEP inhibitor:   0.889

ADMET: Metabolism

CYP1A2-inhibitor:   0.772 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.97
CYP2C9-inhibitor:   0.994 CYP2C9-substrate:   0.889
CYP2D6-inhibitor:   1.0 CYP2D6-substrate:   0.661
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.99
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.017
?
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):  2.716 Half-life (T1/2):  1.904

ADMET: Toxicity

hERG Blockers:  0.318 hERG Blockers (10um):  0.657
Human Hepatotoxicity (H-HT):  0.626 Drug-induced Liver Injury (DILI):  0.936
AMES Toxicity:  0.739 Rat Oral Acute Toxicity:  0.82
Maximum Recommended Daily Dose:  0.991 Skin Sensitization:  0.113
Carcinogencity:  0.838 Eye Corrosion:  0.0
Eye Irritation:  0.845 Respiratory Toxicity:  0.874
Drug-induced Neurotoxicity:  0.172 Ototoxicity:  0.396
Hematotoxicity:  0.088 Drug-induced Nephrotoxicity:  0.296
Genotoxicity:  0.996 RPMI-8226 Immunitoxicity:  0.276
A549 Cytotoxicity:  0.828 Hek293 Cytotoxicity:  0.943
BCF:   1.244
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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:   4.213
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.686
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.329
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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
NPO43802 Streptomyces sp. HDN154127 Genus Streptomycetaceae Bacteria 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
NPT5492 Organism Proteus sp. Proteus sp. MIC = 12000.0 nM PMID[36535025]
NPT29703 Organism Mycolicibacterium phlei Mycolicibacterium phlei MIC = 12000.0 nM PMID[36535025]
NPT79 Organism Bacillus subtilis Bacillus subtilis MIC = 12000.0 nM PMID[36535025]
NPT20 Organism Candida albicans Candida albicans MIC > 50000.0 nM PMID[36535025]
NPT565 Organism Vibrio parahaemolyticus Vibrio parahaemolyticus MIC = 50000.0 nM PMID[36535025]
NPT16 Organism Staphylococcus aureus Staphylococcus aureus MIC > 50000.0 nM PMID[36535025]
NPT314 Organism Bacillus cereus Bacillus cereus MIC = 12000.0 nM PMID[36535025]

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 NPC605730 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
0.7937 Intermediate Similarity NPC139364
0.7143 Intermediate Similarity NPC611071
0.6418 Remote Similarity NPC203747
0.6232 Remote Similarity NPC12377
0.6143 Remote Similarity NPC80710
0.6056 Remote Similarity NPC109187
0.5942 Remote Similarity NPC209560
0.5942 Remote Similarity NPC490700
0.5942 Remote Similarity NPC609386
0.5915 Remote Similarity NPC12175
0.5915 Remote Similarity NPC40290
0.5833 Remote Similarity NPC254702
0.5833 Remote Similarity NPC291802
0.5733 Remote Similarity NPC607759
0.5694 Remote Similarity NPC156953
0.5694 Remote Similarity NPC195763
0.5694 Remote Similarity NPC191741
0.5672 Remote Similarity NPC242893
0.5606 Remote Similarity NPC234560
0.5556 Remote Similarity NPC262623
0.5541 Remote Similarity NPC35544
0.5513 Remote Similarity NPC610903
0.5405 Remote Similarity NPC200060
0.5362 Remote Similarity NPC235428
0.5278 Remote Similarity NPC100971
0.52 Remote Similarity NPC55162
0.52 Remote Similarity NPC114192
0.5072 Remote Similarity NPC212767
0.5062 Remote Similarity NPC149875

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC605730 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