中国高校科技期刊研究会第9次会员代表大会在北京召开，中宣部出版局副局长张怀海、教育部科学技术与信息化司一级巡视员张国辉等领导出席会议并发表..
英文简介：The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action.The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data.Scope:-Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights-Novel experimental and computational technologies-Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes-Pathway and network analyses of signaling that focus on the roles of post-translational modifications-Studies of proteome dynamics and quality controls, and their roles in disease-Studies of evolutionary processes effecting proteome dynamics, quality and regulation-Chemical proteomics, including mechanisms of drug action-Proteomics of the immune system and antigen presentation/recognition-Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease-Clinical and translational studies of human diseases-Metabolomics to understand functional connections between genes, proteins and phenotypes中文简介：（来自Google、百度翻译）MCP的使命是促进蛋白质组学在基础和转化研究中的发展和应用。MCP将发表手稿，报告重要的新的生物学或临床发现，其基础是在所有生命王国的蛋白质组学观察。手稿必须定义所研究的蛋白质或其作用机制所发挥的生物学作用。 该期刊还强调了描述创新的新计算方法和技术进步的文章，这些文章将使未来的发现成为可能。描述此类方法的手稿不必包括对生物学问题的解决方案，但必须证明该技术如所描述的那样工作，是可重复的，并且适合使用相关模型系统或公开可用的数据发现未知的蛋白质/蛋白质组功能或特性。 范围:-生物学基础研究，包括综合 “组学” 研究，提供机械见解 -新颖的实验和计算技术 -蛋白质组学数据集成和分析，使人们能够更好地理解生理和疾病过程 -关注翻译后修饰作用的信号通路和网络分析 -蛋白质组动力学和质量控制，及其在疾病中的作用 -影响蛋白质组动力学，质量和调控的进化过程研究 -化学蛋白质组学，包括药物作用机制 -免疫系统蛋白质组学和抗原呈递/识别 -微生物组学蛋白质组学，宿主-微生物和宿主-病原体相互作用及其在健康和疾病中的作用 -人类疾病的临床和转化研究 -代谢组学了解基因、蛋白质和表型之间的功能联系
