https://www.selleckchem.com/products/tradipitant.html Major histocompatibility complex (MHC) possesses important research value in the treatment of complex human diseases. A plethora of computational tools has been developed to predict MHC class I binders. Here, we comprehensively reviewed 27 up-to-date MHC I binding prediction tools developed over the last decade, thoroughly evaluating feature representation methods, prediction algorithms and model training strategies on a benchmark dataset from Immune Epitope Database. A common limitation was identified during the review that all existing tools can only handle a fixed peptide sequence length. To overcome this limitation, we developed a bilateral and variable long short-term memory (BVLSTM)-based approach, named BVLSTM-MHC. It is the first variable-length MHC class I binding predictor. In comparison to the 10 mainstream prediction tools on an independent validation dataset, BVLSTM-MHC achieved the best performance in six out of eight evaluated metrics. A web server based on the BVLSTM-MHC model was developed to enable accurate and efficient MHC class I binder prediction in human, mouse, macaque and chimpanzee.During the 1980s and 1990s, Edinburgh and the Lothians suffered significantly high rates of HIV infections, considered to be the result of a high proportion of intravenous drug users sharing injecting equipment. This young, sexually active cohort had the potential to pose a threat to the wider population via heterosexual spread, and hence measures were required to prevent, where possible, a second wave of the epidemic. A coalition of health professionals, local authority groups and voluntary organisations consequently acted by producing a series of health promotional campaigns, such as the 'Take Care' campaign, in order to promote healthy and safe sexual practice and to educate the community about the risks of HIV and AIDS. Many of the strategies utilised by Lothian public bodies were pioneering, using distinc