Protein Folding: An Introduction
暫譯: 蛋白質摺疊：入門指南

這本快照卷旨在為蛋白質摺疊領域提供順暢的入門。內容以簡潔的方式呈現，每個部分介紹關鍵概念，同時提供相關文獻的簡要概述。展望子部分將針對新興方法論、概念和趨勢的特定方面進行詳細說明。

Cláudio M. Gomes is Associate Professor of Biochemistry at the Department of Chemistry and Biochemistry of the Faculty of Sciences (DQB-FCUL), University of Lisbon, where he heads the 'Protein Folding and Misfolding Laboratory' within BioISI - Biosystems and Integrative Sciences Institute. He is a Gulbenkian Ph.D. program in Biology and Medicine alumni, and he has obtained is PhD (1999) and Habilitation (2013) in Biochemistry at Universidade Nova de Lisboa. He is an expert on structural biology, biochemistry and biophysics of protein stability, folding and misfolding, with +110 articles published (h-index 26). His current interests focus on mechanisms of protein aggregation in the context of complex biomedical problems such as those arising in Alzheimer's neurodegeneration.

Patrícia F.N. Faísca is Assistant Professor of Physics at the Physics Department of the Faculty of Sciences (DF-FCUL), University of Lisbon, and principal investigator at BioISI - Biosystems and Integrative Sciences Institute. She received her PhD (Physics) in 2002 at the University of Warwick (UK), as part of the Gulbenkian PhD Program in Biology and Medicine. She has a broad interdisciplinary education covering Physics, Biology and Mathematics. Her research on computational biophysics is based on the use of molecular simulations, especially of coarse-grained models. Her current research interests focus on the folding of knotted proteins, and on protein misfolding and aggregation in a disease-related context.

Cláudio M. Gomes 是里斯本大學科學學院化學與生物化學系的生物化學副教授，他在 BioISI - 生物系統與整合科學研究所負責「蛋白質摺疊與錯誤摺疊實驗室」。他是 Gulbenkian 生物學與醫學博士計畫的校友，並於 1999 年獲得里斯本新大學的生物化學博士學位，於 2013 年獲得資格認證。他是蛋白質穩定性、摺疊與錯誤摺疊的結構生物學、生物化學和生物物理學專家，已發表超過 110 篇文章（h-index 26）。他目前的研究興趣集中在複雜生物醫學問題中的蛋白質聚集機制，特別是與阿茲海默症神經退行性變化相關的問題。

Patrícia F.N. Faísca 是里斯本大學科學學院物理系的物理學助理教授，也是 BioISI - 生物系統與整合科學研究所的主要研究員。她於 2002 年在英國華威大學獲得物理學博士學位，這是 Gulbenkian 生物學與醫學博士計畫的一部分。她擁有涵蓋物理學、生物學和數學的廣泛跨學科教育。她的計算生物物理研究基於分子模擬，特別是粗粒度模型的使用。她目前的研究興趣集中在結的蛋白質摺疊，以及在疾病相關背景下的蛋白質錯誤摺疊和聚集。