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Daniel Herschlag

Daniel Herschlag

· Professor of Biochemistry and, by courtesy, of Chemical Engineering

Stanford University · Biochemistry

Active 1983–2026

h-index100
Citations34.6k
Papers40842 last 5y
Funding$58.3M1 active

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

We study biology through the lens of chemistry and physics, as the physical and chemical properties of biomolecules enable and constrain what biology can do and how it has evolved. Chemistry and physics are needed to understand and predict biology and to manipulate and engineer biological systems for biomedical and other applications. We focus on questions of how enzymes work, how RNA folds, how proteins recognize RNA, RNA/protein interactions in regulation and control, and the evolution of molecules and molecular interactions.

Research topics

  • Computer Science
  • Biology
  • Physics
  • Biochemistry
  • Chemistry
  • Materials science
  • Genetics
  • Machine Learning
  • Nanotechnology
  • Data Mining

Selected publications

  • How to measure and evaluate binding affinities

    eLife · 2020 · 530 citations

    Senior authorCorresponding

    Quantitative measurements of biomolecule associations are central to biological understanding and are needed to build and test predictive and mechanistic models. Given the advances in high-throughput technologies and the projected increase in the availability of binding data, we found it especially timely to evaluate the current standards for performing and reporting binding measurements. A review of 100 studies revealed that in most cases essential controls for establishing the appropriate incu…

  • Revealing enzyme functional architecture via high-throughput microfluidic enzyme kinetics

    Science · 2021 · 229 citations

    Systematic and extensive investigation of enzymes is needed to understand their extraordinary efficiency and meet current challenges in medicine and engineering. We present HT-MEK (High-Throughput Microfluidic Enzyme Kinetics), a microfluidic platform for high-throughput expression, purification, and characterization of more than 1500 enzyme variants per experiment. For 1036 mutants of the alkaline phosphatase PafA (phosphate-irrepressible alkaline phosphatase of Flavobacterium), we performed mo…

  • Parallel molecular mechanisms for enzyme temperature adaptation

    Science · 2021 · 130 citations

    Senior authorCorresponding

    The mechanisms that underly the adaptation of enzyme activities and stabilities to temperature are fundamental to our understanding of molecular evolution and how enzymes work. Here, we investigate the molecular and evolutionary mechanisms of enzyme temperature adaption, combining deep mechanistic studies with comprehensive sequence analyses of thousands of enzymes. We show that temperature adaptation in ketosteroid isomerase (KSI) arises primarily from one residue change with limited, local epi…

  • Rapid and accurate determination of atomistic RNA dynamic ensemble models using NMR and structure prediction

    Nature Communications · 2020 · 82 citations

    Biomolecules form dynamic ensembles of many inter-converting conformations which are key for understanding how they fold and function. However, determining ensembles is challenging because the information required to specify atomic structures for thousands of conformations far exceeds that of experimental measurements. We addressed this data gap and dramatically simplified and accelerated RNA ensemble determination by using structure prediction tools that leverage the growing database of RNA str…

  • RNA conformational propensities determine cellular activity

    Nature · 2023-05-17 · 58 citations

    articleOpen access

Recent grants

Frequent coauthors

Labs

Education

  • B.S., Chemistry

    University of California, Berkeley

    1984
  • Ph.D., Chemistry

    Stanford University

    1989

Awards & honors

  • Inducted into the American Academy of Arts and Sciences (202…

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