Prediction methods have become an integral part of biomedical and biotechnological research. However, their clinical interpretations are largely based on biochemical or molecular data, but not clinical data. Here, we focus on improving the reliability and clinical applicability of prediction algorithms. We assembled and curated two large non-overlapping large databases of clinical phenotypes. These phenotypes were caused by missense variations in 44 and 63 genes associated with Mendelian diseases. We used these databases to establish and validate the model, allowing us to improve the predictions obtained from EVmutation, SNAP2 and PoPMuSiC 2.1. The predictions of clinical effects suffered from a lack of specificity, which appears to be the common constraint of all recently used prediction methods, although predictions mediated by these methods are associated with nearly absolute sensitivity. We introduced evidence-based tailoring of the default settings of the prediction methods; this tailoring substantially improved the prediction outcomes. Additionally, the comparisons of the clinically observed and theoretical variations led to the identification of large previously unreported pools of variations that were under negative selection during molecular evolution. The evolutionary variation analysis approach described here is the first to enable the highly specific identification of likely disease-causing missense variations that have not yet been associated with any clinical phenotype.

• MeSH
• algoritmy MeSH
• ektodysplasiny genetika   MeSH
• fenotyp MeSH
• genetická variace MeSH
• genetické nemoci vrozené genetika   MeSH
• genomika MeSH
• glukosa-6-fosfátdehydrogenasa genetika   MeSH
• hemoglobiny genetika   MeSH
• hepatocytární jaderný faktor 4 genetika   MeSH
• lidé MeSH
• missense mutace MeSH
• modely genetické * MeSH
• molekulární evoluce MeSH
• mutace * MeSH
• pravděpodobnostní funkce MeSH
• proteomika MeSH
• tyrosinfosfatasa nereceptorového typu 11 genetika   MeSH
• výpočetní biologie metody   MeSH
• zvířata MeSH
• Check Tag
• lidé MeSH
• zvířata MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Názvy látek
• EDA protein, human MeSH Prohlížeč
• ektodysplasiny MeSH
• G6PD protein, human MeSH Prohlížeč
• glukosa-6-fosfátdehydrogenasa MeSH
• hemoglobin B MeSH Prohlížeč
• hemoglobiny MeSH
• hepatocytární jaderný faktor 4 MeSH
• HNF4A protein, human MeSH Prohlížeč
• PTPN11 protein, human MeSH Prohlížeč
• tyrosinfosfatasa nereceptorového typu 11 MeSH

Adenosine triphosphate (ATP) is a crucial substrate and energy source commonly used in enzyme reactions. However, we demonstrated that the addition of this acidic compound to enzyme assay buffers can serve as a source of unnoticed pH changes. Even relatively low concentrations of ATP (up to 5 mM) shifted pH of reaction mixtures to acidic values. For example, Tris buffer lost buffering capacity at pH 7.46 by adding ATP at a concentration higher than 2 mM. In addition to the buffering capacity, the pH shifts differed with respect to the buffer concentration. High ATP concentrations are commonly used in hexokinase assays. We demonstrated how the presence of ATP affects pH of widely used enzyme assay buffers and inversely affected KM of human hexokinase 2 and S0.5 of human glucokinase. The pH optimum of human glucokinase was never reported before. We found that previously reported optimum of mammalian glucokinase was incorrect, affected by the ATP-induced pH shifts. The pH optimum of human glucokinase is at pH 8.5-8.7. Suggested is the full disclosure of reaction conditions, including the measurement of pH of the whole reaction mixtures instead of measuring pH prior to the addition of all the components.

• MeSH
• adenosintrifosfát chemie   metabolismus   MeSH
• enzymatické testy metody   MeSH
• hexokinasa chemie   genetika   izolace a purifikace   metabolismus   MeSH
• koncentrace vodíkových iontů * MeSH
• ověření koncepční studie MeSH
• rekombinantní proteiny chemie   genetika   izolace a purifikace   metabolismus   MeSH
• substrátová specifita MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Názvy látek
• adenosintrifosfát MeSH
• hexokinasa MeSH
• HK2 protein, human MeSH Prohlížeč
• rekombinantní proteiny MeSH