使命宣言MCP的使命是促進蛋白質組學在基礎研究和轉化研究中的發展和應用。MCP將出版手稿，報告重要的新的生物學或臨床發現，以蛋白質組學觀察為基礎，跨越所有的生命王國。原稿必須明確所研究的蛋白質所起的生物學作用或它們的作用機制。該雜志還強調，文章描述了創新的新的計算方法和技術進步，將使未來的發現。描述這類方法的手稿不必包含解決生物學問題的方案，但必須證明該技術如描述的那樣工作，是可復制的，并且適合使用相關的模型系統或公開可用的數據來揭示未知的蛋白質/蛋白質組功能或特性。期刊范圍生物學的基礎研究，包括綜合的“組學”研究，提供了機械的見解新穎的實驗和計算技術蛋白質基因組數據的整合和分析，使更多地了解生理學和疾病的過程信號通路和網絡分析的重點是翻譯后修飾的作用蛋白質組動力學和質量控制的研究及其在疾病中的作用影響蛋白質組動力學、質量和調控的進化過程的研究化學蛋白質組學，包括藥物作用機制免疫系統的蛋白質組學和抗原表達/識別微生物組蛋白組學、宿主-微生物和宿主-病原體相互作用及其在健康和疾病中的作用人類疾病的臨床和轉化研究代謝組學研究基因、蛋白質和表型之間的功能聯系

MISSION STATEMENTThe 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 OF THE JOURNALFundamental studies in biology, including integrative "omics" studies, that provide mechanistic insightsNovel experimental and computational technologiesProteogenomic data integration and analysis that enable greater understanding of physiology and disease processesPathway and network analyses of signaling that focus on the roles of post-translational modificationsStudies of proteome dynamics and quality controls, and their roles in diseaseStudies of evolutionary processes effecting proteome dynamics, quality and regulationChemical proteomics, including mechanisms of drug actionProteomics of the immune system and antigen presentation/recognitionMicrobiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and diseaseClinical and translational studies of human diseasesMetabolomics to understand functional connections between genes, proteins and phenotypes