Natural Product: NPC305789

Natural Product IDNPC305789
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
CJMOMVNHRUTOJX-WCUWGRSFSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 90470745
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0001831] Carbonyl compounds
          • [CHEMONTID:0000118] Ketones
            • [CHEMONTID:0003487] Cyclic ketones
              • [CHEMONTID:0004325] Cyclohexenones

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 CJMOMVNHRUTOJX-WCUWGRSFSA-N
Standard InCHI InChI=1S/C23H24O5/c1-6-13(2)9-14(3)7-8-17-10-16-11-19-20(15(4)24)22(26)28-23(19,5)21(25)18(16)12-27-17/h7-13H,6H2,1-5H3/b8-7+,14-9+/t13-,23-/m0/s1
SMILES CC[C@H](C)/C=C(C)/C=C/C1=CC2=CC3=C(C(=O)C)C(=O)O[C@]3(C)C(=O)C2=CO1

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   380.16 Volume:   400.918
?
Van der Waals volume.
Dense:   0.948 LogP:   2.641
?
The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.649
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.972
?
The logarithm of aqueous solubility value.
Rotatable Bonds:   5.0 Rigid Bonds:   20.0
TPSA:   69.67
?
Topological Polar Surface Area.
H-Bond Acceptor:   5.0
H-Bond Donor:   0.0 Rings:   3.0
Heavy Atoms:   5.0

MedChem Properties

QED Drug-Likeness Score:   0.409 GASA:   0.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.638 Fsp3:   0.348
MCE-18:   45.419
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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:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.964 Fluc inhibitor:   0.621
?
The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.631
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.321
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.668 Promiscuous compounds:   0.355

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.969 MDCK Permeability:   -4.654
Pgp-inhibitor:   0.715 Pgp-substrate:   0.028
PAMPA:   0.376
?
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):   0.002
20% Bioavailability (F20%):   0.137 30% Bioavailability (F30%):   0.338
50% Bioavailability (F50%):   0.587

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.825
Plasma Protein Binding (PPB):   98.202% Volume Distribution (VD):   0.023
Fu: 1.756%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.986
OATP1B3 inhibitor:   0.978 BCRP inhibitor:   0.0
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.006 CYP1A2-substrate:   0.999
CYP2C19-inhibitor:   0.0 CYP2C19-substrate:   0.985
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.032
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.089
CYP3A4-inhibitor:   0.779 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.999
HLM stability:   0.841
?
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):  6.575 Half-life (T1/2):  0.762

ADMET: Toxicity

hERG Blockers:  0.057 hERG Blockers (10um):  0.254
Human Hepatotoxicity (H-HT):  0.897 Drug-induced Liver Injury (DILI):  0.971
AMES Toxicity:  0.861 Rat Oral Acute Toxicity:  0.558
Maximum Recommended Daily Dose:  0.887 Skin Sensitization:  0.996
Carcinogencity:  0.929 Eye Corrosion:  0.0
Eye Irritation:  0.48 Respiratory Toxicity:  0.36
Drug-induced Neurotoxicity:  0.832 Ototoxicity:  0.417
Hematotoxicity:  0.644 Drug-induced Nephrotoxicity:  0.982
Genotoxicity:  0.995 RPMI-8226 Immunitoxicity:  0.21
A549 Cytotoxicity:  0.322 Hek293 Cytotoxicity:  0.608
BCF:   1.376
?
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:   4.487
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.86
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.574
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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
NPO14633 Tridacna maxima Species Tridacnidae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9160 Plantago nivalis Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13628 Rabdosia longituba Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15729 Streptomyces karnatakensis Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO3508 Aglaia tenuicaulis Species Meliaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13628 Rabdosia longituba Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO13628 Rabdosia longituba Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO5308 Stilpnopappus trichospiroides n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO9160 Plantago nivalis Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14633 Tridacna maxima Species Tridacnidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20456 Chrysanthemum tatsienense Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3508 Aglaia tenuicaulis Species Meliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16003 Machaerium incorruptibile Species Dolichopodidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7875 Pseudocyphellaria berberina Species Lobariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15729 Streptomyces karnatakensis Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO10933 Stenanthera gabonensis n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO13628 Rabdosia longituba Species Lamiaceae 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

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 NPC305789 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 NPC291712
0.6406 Remote Similarity NPC29798
0.6393 Remote Similarity NPC32944
0.629 Remote Similarity NPC193396
0.5672 Remote Similarity NPC143210
0.5652 Remote Similarity NPC282644
0.5385 Remote Similarity NPC224270

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC305789 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