摘要 ： 学术出版的高额费用已成全球科研人员的共同负担，而中国新推出的《Vita》期刊正试图打破这 一模式。 特别提示 微信机制调整，点击顶部"仪器信息网" → 右上方"…" → 设为 ★ 星标，否则很可能无法看到我 们的推送。 日前，从西湖大学获悉，由高等教育出版社主办、西湖大学牵头的生命科学与生物医学领域顶 级国际期刊《Vit a》将于2 0 2 6年春季正式亮相。该期刊由李党生担任主编，施一公担任共同主 编。 《Vit a》定位为国际高水平学术平台，坚持开放获取模式，但明确 不向作者收取任何版面费或 论文处理费 。这一政策直面当前全球科研人员面临的发表负担：有统计显示，2 0 2 4年中国学 者共支付了约9 . 0 9亿美元国际论文版面费。 期刊名"Vit a "源自拉丁语"生命"，寓意跨越国界的学术胸怀。目前，其国际刊号已获批，专家 咨询委员会已吸纳近百位国内外顶尖科学家，首批原创论文正处于最终审核阶段，预计2 0 2 6年 第一季度在线发布，纸质版将于6月出版。 同时，与之联动的" 浪淘沙预印本平台 "也已上线，为科研成果提供快速分享渠道。 《Vit a》的创办是对我国科研现实需求的回应。随着中国在 ...

Core Insights - The article discusses the launch of the LangTaoSha Preprint Server, a collaborative open science platform aimed at enhancing academic communication in the life sciences field [3][4]. - The platform is established by Shenzhen Medical Academy, Shenzhen Bay Laboratory, Tsinghua University, Westlake University, and other leading institutions, focusing on rapid dissemination of research findings prior to formal peer review [3]. - The introduction of blockchain technology ensures the integrity and traceability of scientific records by generating unique, immutable timestamps and encrypted certificates for each published paper [3]. Group 1: Platform Overview - The LangTaoSha Preprint Server officially launched in November 2025, providing a reliable and efficient environment for researchers [3]. - The platform has already published 11 research papers, including two from the team led by Academician Yan Ning [4]. - The platform aims to integrate AI-driven tools to streamline manuscript screening processes and improve manuscript quality [3]. Group 2: Research Highlights - The paper titled "Open-state structure of veratridine-activated human Nav1.7 reveals the molecular choreography of fast inactivation" focuses on capturing the open-state structure of the sodium channel Nav1.7 using veratridine [5][8]. - The research team identified two complexes of Nav1.7 with veratridine, revealing insights into the dual-mode regulatory mechanism of veratridine on sodium channels [9][11]. - Another paper, "High-throughput cryo-EM characterization and automated model building of glycofibrils via CryoSeek," introduces a new strategy combining cryo-electron microscopy with AI for discovering novel biological entities [12][13]. Group 3: Methodologies and Innovations - The CryoSeek methodology allows for high-throughput processing of cryo-EM data and automated modeling of glycan structures, establishing a workflow for reconstructing three-dimensional electron microscopy maps [14]. - The research team proposed a unified naming scheme for the fibers discovered through CryoSeek, which will aid in understanding glycan folding principles [14]. - A CryoSeek database has been created for data archiving and sharing, accommodating the large volume of structures obtained through this strategy [14].