Steffen Lindert

Steffen Lindert's research develops computational and machine-learning methods to predict protein structures, often by combining computer modeling (such as AlphaFold and Rosetta) with experimental data from mass spectrometry and related techniques. Much of the work applies these structure-prediction tools to problems in cardiac muscle proteins (like troponin and myosin) and drug discovery targets, aiming to understand how molecular shape relates to disease and to guide the design of new therapeutics.

Publication output has been relatively steady over the past decade, peaking around 2019 and 2022 with 15-16 papers per year, and settling to a more moderate but consistent pace of roughly 7-9 papers per year in recent years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026