covering a wide range of the integration of biology with computer and information science.The journal focuses on reviews on advances in computational molecular/structural biology, encompassing areas such as computing in biomedicine and genomics, computational proteomics and systems biology, and metabolic pa...
The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric. Cites per documentYearValue Cites / Doc. (4 years) 2010 0.000 Cites / Doc. (4 years) 2011 0.765 Cites / Doc. (4 years) 2012 0.939 Cites / Doc. (4 years) 2013 1.073 Cites / Doc. (4 years...
Feature selection is a critical step for translating advances afforded by systems-scale molecular profiling into actionable clinical insights. While data-driven methods are commonly utilized for selecting cand... Mohammed Toufiq, Darawan Rinchai, Eleonore Bettacchioli, Basirudeen Syed Ahamed Kabeer, Taus...
Advances and Applications in Bioinformatics and Chemistry is an international, open access, peer reviewed journal that publishes in the following fields: Computational biomodeling Bioinformatics Computational genomics Molecular modeling Protein structure modeling and structural genomics Systems biology Computational...
Another ability of the hybrid approach that can be assessed is that the handcrafted features can be used in the ML classifier alongside the CNN-extracted features. Therefore, to evaluate the impact of adding handcrafted features, we compute the accuracy score for different CNN-extracted features ...
Compound Kushen injection (CKI), a medicine in widespread clinical use in China, has proven therapeutic effects on cancer. However, few molecular mechanism analyses have been carried out. To address this problem, bioinformatics approaches combining weigh
Advances in protein structure prediction have led to a significant influx of protein structure data. Here the authors exploit this data to offer an unbiased overview of complex sequence-structure-function relationships in the protein universe. This work opens up new uses for 3D structure data r...
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Health & Science: The Impact of AI in Medical Research Growth of AI in Medical Research The role of AI in medical research has grown significantly in recent years. Advances in machine learning, deep learning, and natural language processing are now aiding scientists in diagnosing diseases, disco...
These multimodal therapeutic advances have shown promising results, but a substantial fraction of patients fail to benefit, and the massive burden in new ESCC cases may continue to increase given population growth and ageing. Therefore, a much more comprehensive analysis of the molecular mechanisms ...