Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
Possible drug side-effects (SEs) are usually verified by many years of repeated clinical trials. Despite the effort, some drugs are still expected to cause adverse reactions in some patients. To better predict drug SEs without having to go through the laborious processes of testing and re-testing, machine learning (ML) techniques are more and more used to uncovered patterns in drug data for such purpose...
We investigate the problem of finding unknown associations between 'concepts' in a given text corpus. A 'concept' is an entity, which is referred to by a phrase or multiple phrases (in case an entity has several names or synonyms, e.g. "illness", "disease"), while an 'association' is a relationship defined in a particular domain. The pairwise associations computation poses major...
Network pharmacology has become the new approach for drug mechanism research and novel drug design. Drug target prediction based on computational approach became one of the primary approaches. However, due to the diversity and complexity of herbal chemical structures, the performance of herb target prediction based on chemical structure similarity is limited by the quality and the data availability...
A three dimensional pharmacophore model was generated for the molecules which are responsible for anti-platelet aggregation activities targeting platelet adp receptor (P2Y12). 24 structrurally diverse molecules were selected as training set to generate the hypothesis using Catalyst software 4.11. The best hypothesis comprises one hydrogen-bond acceptor, one aromatic ring, three hydrophobic points...
To inspect drug tablets with one-dose package (ODP), we propose an automated inspection system which based on computer vision. In the proposed system, we capture both-side of tablets at once and apply hierarchical identification. In this paper, we repot several results of preliminary experiments, which distinguish 100 kinds of naked tablets. As a result, we have achieved hundred-percent recognition...
Safety signal detection problems in pharmacovigilance are examined in the general context of data fusion systems. The general perspective reveals commonalities between seemingly disparate fields of endeavor, and it suggests methods and technologies that may provide a “way forward” to advance to state of the art. Such insights are examined for exploring safety signal detection problems in (passive)...
The problem of large scale computational drug screening is considered in this paper. A computational framework is developed for microarray profile of drug treatment from the Connectivity Map (cMap) project. The framework is proposed to address the deficiency of cMap prediction. This scheme includes construction of drug Mode-of-Actions (MoA) and subsequently Mode-of-Action (MoA) network, or MoANet...
A recursive system identification algorithm that merges PK/PD information in a minimally parameterized Wiener model for the NMB level is presented. The results show that the coupling between one parameter from the linear block and one from the static nonlinearity is advantageous, when evaluated on a database of 60 real collected NMB cases.
There is a large interest in analysing the QT-interval, as a prolonged QT-interval can cause the development of ventricular tachyarrhythmias such as Torsade de Pointes. One major part of QT-analysis is T-end detection. Three automatic T-end delineation methods based on wavelet filterbanks (WAM), correlation (CORM) and Principal Component Analysis PCA (PCAM) have been developed and applied to Physionet...
In this study, a QSAR model of neuraminidase (NA) type 1 (Nl) was elevated. This map contained two hydrogen bond acceptor features, one hydrogen bond donor features, and one positive ionizable feature. In the second step, we created the interaction maps in the active sites on the neuraminidase type2, and type7 (N2 and N7) protein structures. The structure-based pharmacophore map was showed the features...
One of the main tasks of KDTCM (knowledge discovery in Traditional Chinese Medicine) is discovering novel paired or grouped drugs in Chinese Medical Formula (CMF) database, which are special combinations of two or more drugs. Correlation mining is much effective because of the large number of correlation relationships among various kinds of drugs. However, an independent pattern might have much more...
The QT interval is the lead biomarker for predicting risk of severe ventricular pro-arrhythmia in drug safety assessment. QT is a weak predictor, with no direct link to clinical endpoints.We propose two methods that might bridge the gap. Method A is based on the study level probabilistic intra-subject clustering of 12-lead based ECG waveform similarities, comparing pre-treatment with placebo and treatment...
This paper proposes the Stationarity Index, a measure of the similarities of the auto correlation integral of a section of a time series and the cross correlation of that section with others of the same time series. This measure of similarity is a measure of the stationarity of the time series and therefore can be used not only to detect nonstationarity but to also quantify it. The index is then successfully...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.