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1.
Acta Vet Hung ; 71(2): 119-127, 2023 10 17.
Article in English | MEDLINE | ID: mdl-37676787

ABSTRACT

The authors aimed to determine the plasma melatonin concentration in mares and their new-born foals in the early post-partum period. Blood samples were collected from the jugular vein of 53 mare-foal pairs within twelve hours after parturition. Plasma melatonin levels were measured by ELISA. The melatonin concentration, adjusted for the moment of parturition using a generalised linear model, was 34.58 pg mL-1 in mares. It was significantly lower (27.63 pg mL-1) in the new-born foals. However, the melatonin concentration declined differently by the end of the twelve hours, it decreased less in the offspring than in the mothers. An artificial light supplementation at the end of gestation reduced the melatonin concentration both in mares and their foals by about 10 pg mL-1, compared to the controls. An elevated melatonin production may be related to preparation of mares for parturition and ensures the chances of survival of offspring, therefore the melatonin may reach its peak at the moment of foaling regardless of its actual time. The effect of low melatonin concentration in new-born foals might be associated with the foal's health and subsequent performance. The need to monitor the melatonin concentration in the offspring justifies further studies.


Subject(s)
Melatonin , Pregnancy , Animals , Horses , Female , Postpartum Period , Parturition
2.
Mol Divers ; 21(1): 175-186, 2017 Feb.
Article in English | MEDLINE | ID: mdl-28070724

ABSTRACT

A glutaminyl cyclase (QC) fragment library was in silico selected by disconnection of the structure of known QC inhibitors and by lead-like 2D virtual screening of the same set. The resulting fragment library (204 compounds) was acquired from commercial suppliers and pre-screened by differential scanning fluorimetry followed by functional in vitro assays. In this way, 10 fragment hits were identified ([Formula: see text]5 % hit rate, best inhibitory activity: 16 [Formula: see text]). The in vitro hits were then docked to the active site of QC, and the best scoring compounds were analyzed for binding interactions. Two fragments bound to different regions in a complementary manner, and thus, linking those fragments offered a rational strategy to generate novel QC inhibitors. Based on the structure of the virtual linked fragment, a 77-membered QC target focused library was selected from vendor databases and docked to the active site of QC. A PubChem search confirmed that the best scoring analogues are novel, potential QC inhibitors.


Subject(s)
Aminoacyltransferases/antagonists & inhibitors , Computer Simulation , Enzyme Inhibitors/pharmacology , Small Molecule Libraries/pharmacology , Aminoacyltransferases/chemistry , Aminoacyltransferases/metabolism , Catalytic Domain , Drug Design , Drug Evaluation, Preclinical , Enzyme Inhibitors/chemistry , Enzyme Inhibitors/metabolism , Molecular Docking Simulation , Protein Conformation , Small Molecule Libraries/chemistry , Small Molecule Libraries/metabolism , Structure-Activity Relationship
3.
Molecules ; 19(6): 7008-39, 2014 May 28.
Article in English | MEDLINE | ID: mdl-24879613

ABSTRACT

Rapid in silico selection of target focused libraries from commercial repositories is an attractive and cost effective approach. If structures of active compounds are available rapid 2D similarity search can be performed on multimillion compound databases but the generated library requires further focusing by various 2D/3D chemoinformatics tools. We report here a combination of the 2D approach with a ligand-based 3D method (Screen3D) which applies flexible matching to align reference and target compounds in a dynamic manner and thus to assess their structural and conformational similarity. In the first case study we compared the 2D and 3D similarity scores on an existing dataset derived from the biological evaluation of a PDE5 focused library. Based on the obtained similarity metrices a fusion score was proposed. The fusion score was applied to refine the 2D similarity search in a second case study where we aimed at selecting and evaluating a PDE4B focused library. The application of this fused 2D/3D similarity measure led to an increase of the hit rate from 8.5% (1st round, 47% inhibition at 10 µM) to 28.5% (2nd round at 50% inhibition at 10 µM) and the best two hits had 53 nM inhibitory activities.


Subject(s)
Phosphodiesterase 4 Inhibitors , Phosphodiesterase 5 Inhibitors , Drug Evaluation, Preclinical , Molecular Structure , Structure-Activity Relationship
4.
Mol Divers ; 16(1): 59-72, 2012 Feb.
Article in English | MEDLINE | ID: mdl-21947759

ABSTRACT

Rapid in silico selection of target focused libraries from commercial repositories is an attractive and cost-effective approach when starting new drug discovery projects. If structures of active compounds are available rapid 2D similarity search can be performed on multimillion compounds' databases. This in silico approach can be combined with physico-chemical parameter filtering based on the property space of the active compounds and 3D virtual screening if the structure of the target protein is available. A multi-step virtual screening procedure was developed and applied to select potential phosphodiesterase 5 (PDE5) inhibitors in real time. The combined 2D/3D in silico method resulted in the identification of 14 novel PDE5 inhibitors with <1 µMIC(50) values and the hit rate in the second in silico selection and in vitro screening round exceeded the 20%.


Subject(s)
Computational Biology/methods , Cyclic Nucleotide Phosphodiesterases, Type 5/metabolism , Drug Evaluation, Preclinical/methods , Phosphodiesterase 5 Inhibitors/analysis , Phosphodiesterase 5 Inhibitors/pharmacology , Piperazines/analysis , Small Molecule Libraries/analysis , Sulfones/analysis , Animals , Cell Line , Models, Molecular , Phosphodiesterase 5 Inhibitors/chemistry , Piperazines/chemistry , Piperazines/pharmacology , Protein Interaction Maps , Purines/analysis , Purines/chemistry , Purines/pharmacology , Reference Standards , Sildenafil Citrate , Small Molecule Libraries/pharmacology , Sulfones/chemistry , Sulfones/pharmacology
5.
Drugs ; 70(8): 949-64, 2010 May 28.
Article in English | MEDLINE | ID: mdl-20481653

ABSTRACT

Matrix metalloproteinases (MMPs) play an important role in tissue remodelling associated with various physiological and pathological processes, such as morphogenesis, angiogenesis, tissue repair, arthritis, chronic heart failure, chronic obstructive pulmonary disease, chronic inflammation and cancer metastasis. As a result, MMPs are considered to be viable drug targets in the therapy of these diseases. Despite the high therapeutic potential of MMP inhibitors (MMPIs), all clinical trials have failed to date, except for doxycycline for periodontal disease. This can be attributed to (i) poor selectivity of the MMPIs, (ii) poor target validation for the targeted therapy and (iii) poorly defined predictive preclinical animal models for safety and efficacy. Lessons from previous failures, such as recent discoveries of oxidative/nitrosative activation and phosphorylation of MMPs, as well as novel non-matrix related intra- and extracellular targets of MMP, give new hope for MMPI development for both chronic and acute diseases. In this article we critically review the major structural determinants of the selectivity and the milestones of past design efforts of MMPIs where 2-/3-dimensional structure-based methods were intensively applied. We also analyse the in vitro screening and preclinical/clinical pharmacology approaches, with particular emphasis on drawing conclusions on how to overcome efficacy and safety problems through better target validation and design of preclinical studies.


Subject(s)
Cardiovascular Diseases/drug therapy , Inflammation/drug therapy , Matrix Metalloproteinase Inhibitors , Neoplasms/drug therapy , Protease Inhibitors/chemical synthesis , Protease Inhibitors/therapeutic use , Clinical Trials as Topic , Drug Design , Drug Evaluation, Preclinical , Humans , Matrix Metalloproteinases/chemistry , Protease Inhibitors/chemistry
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