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100 results for “Drug Data”
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Research ArticleOpen accessIn the abstractA Drug-Target Interaction Prediction Based on Supervised Probabilistic ClassificationManmohan Singh, Susheel Kumar Tiwari, G. Swapna et al.Bayesian ranking-based drug-target relationship prediction has achieved good results, but it ignores the relationship between drugs of the same target. A new method is proposed for drug-target relationship prediction based on groups by Appling Bayesian. According to the reality that drugs interacting with a specific target have similarities, a grouping strategy was introduced to make these similar drugs interact. A … …Journal of Computer Science, Vol. 19, Issue 10 · 1 Sep 2023 · 5,454 accessesView PDFCite
Research ArticleOpen accessIn the abstractVirtual Screening of CPP Conjugated Peptide as QcrB BCC Protein Inhibitors of Mycobacterium tuberculosis BacteriaMuhammad Ihsan Muttaqin, Manaman Huang, Usman Sumo Friend TambunanTuberculosis is a global leading cause of death, just below COVID-19 and ranked above HIV. This disease is caused by a pathogen called Mycobacterium tuberculosis, which spreads easily through the air and is known to remain latent in most people's bodies, about a quarter of the world's population. The current problems with TB also include two main concerns: The official … …OnLine Journal of Biological Sciences, Vol. 24, Issue 3 · 14 Mar 2024 · 5,518 accessesView PDFCite
Research ArticleOpen accessIn the abstractMechanism Analysis of Artemisinin and Artesunate as Lung Cancer Therapy Agents Through in Silico MethodDidik Harmoko, Vivitri Dewi Prasasty, Adi YulandiSeveral in vitro studies have focused on the ability of artemisinin and its derivatives to suppress lung cancer cells, but there are still many biological processes and mechanisms, such as the interactions between the active compounds (ligands) and receptors that are not well understood and require further research. Drug targeting for lung cancer will be more precise and the inhibition … …OnLine Journal of Biological Sciences, Vol. 24, Issue 3 · 15 Feb 2024 · 6,144 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffective Strains of Beauveria Bassiana and B. Pseudobassiana used Against the Asian Locust (Locusta Migratoria L.) in KazakhstanUlzhalgas T. Zhumataуeva, Bakhytzhan A. Duissembekov, Yerlan Dutbayev et al.The purpose of the study was to perform genetic identification of the strains of fungi of the Beauveria genus and evaluate the effect of abiotic factors on the growth and survival of colonies and the productivity of conidia of these fungi, as well as to determine the biological effectiveness of the semi-preparative form of the drug based on Beauveria bassiana … …OnLine Journal of Biological Sciences, Vol. 22, Issue 4 · 22 Nov 2022 · 5,702 accessesView PDFCite
Review ArticleOpen accessIn the abstractDrug Interactions Pharmacology: A Narrative ReviewLívia Maria Barbosa Neves, Louryanne de Castro Silva, Mônica Thalia Brito de Melo et al.Thesimultaneous prescription of multiple drugs used in therapeutic schemes canresult in drug interactions, with desirable or undesirable effects. Thus, theobjective of this study was to describe the mechanisms involved in clinicallyrelevant drug interactions. This is a narrative review in which studiespublished in PUBMED and the VHL were searched in the following databases:MedLine, Lilacs, and Scielo. The search was performed in … …American Journal of Pharmacology and Toxicology, Vol. 17, Issue 1 · 25 Oct 2022 · 9,157 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdverse Drug Reaction Detection Using Latent Semantic AnalysisAhmed Adil Nafea, Nazlia Omar, Mohammed M. AL-AniDetecting Adverse Drug Reactions (ADRs) is one of the important information for determining the view of the patient on one drug. Most studies have investigated the extraction of ADRs from social networks, in which users share their opinion on a particular medication. Some studies have used trigger terms to detect ADRs. Such studies showed remarkable performance in terms of extracting … …Journal of Computer Science, Vol. 17, Issue 10 · 28 Oct 2021 · 7,808 accessesView PDFCite
Literature ReviewOpen accessIn the abstractDevelopment of Azithromycin Resistance in Streptococcus pneumoniae in the Setting of Trachoma Mass Drug Administration: A Systematic ReviewNazia Khan, Barbara Lachana Onen, Robin Hilder, Robin BaileyTrachoma is a blinding eye disease caused by the bacterium Chlamydia trachomatis. The current global elimination of trachoma initiative includes the use of mass drug distribution of azithromycin in areas where the prevalence of follicular trachoma is >10% in children aged 1-9 years. This study aims to investigate the high quality evidence of whether mass drug administration for trachoma causes … …American Journal of Infectious Diseases, Vol. 16, Issue 3 · 24 Jul 2020 · 7,596 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation of Antimicrobial Stewardship Program During COVID-19 Era: Cost Effectiveness and Mortality RatesSafaa Alkhiami, Anass Qasem, Hussein Mohamed Hussein, Ali AbdallaThe growing spread of antimicrobial resistance is a major problem on a global level that has provoked several health and government organizations to call for action to counteract the problem. The frequent misuse of antibiotics is prevalent within hospital settings, especially during the COVID-19 era. The introduction of antibiotic stewardship initiatives has demonstrated the capability to decrease both unwarranted antibiotic … …American Journal of Infectious Diseases, Vol. 19, Issue 4 · 30 Jan 2024 · 6,287 accessesView PDFCite
Research ArticleOpen accessIn the abstractExtended Trigger Terms for Extracting Adverse Drug Reactions in Social Media TextsRami Naim Mohammad Yousef, Sabrina Tiun, Nazlia OmarAdverse Drug Reaction (ADR) is a disorder caused by taking medications. Studies have addressed extracting ADRs from social networks where users express their opinion regarding a specific medication. Extracting entities mainly depends on specific terms called trigger terms that may occur before or after ADRs. However, these terms should be extended, especially when examining multiple representation of N-gram. This study … …Journal of Computer Science, Vol. 15, Issue 6 · 29 Jun 2019 · 8,051 accessesView PDFCite