G. Pérez-Hernández
Molecular Biology · 2013–2015
A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 63 citations into it; #4,308 of 17,773 by trust here, #6,609 by citations
- Materials Chemistry — 22 citations into it
Whom G. Pérez-Hernández trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christof Schutte
- K. Lindorff‐Larsen
- M. Harvey
- Kyle A. Beauchamp
- Lang Tong
- Gregory R. Bowman
- Peter Deuflhard
- Stefano Piana
- Vijay S. Pande
- Giovanni Giupponi
Who trusts G. Pérez-Hernández overall
- Frank No'e
- Hao Wu
- John D. Chodera
- Stefan Klus
- Jonas Köhler
- Feliks Nuske
- Cecilia Clementi
- Andreas Mardt
Papers from G. Pérez-Hernández's perspective
Ordered by how strongly the researchers G. Pérez-Hernández trusts endorse each paper. Same corpus, a different order for every researcher.
- Essential dynamics of proteins
- Comparison of simple potential functions for simulating liquid water
- AMUSE: a new blind identification algorithm
- How Fast-Folding Proteins Fold (Science)
- Intrinsic dynamics of an enzyme underlies catalysis (Nature)
- Independent Component Analysis
- Progress and challenges in the automated construction of Markov state models for full protein systems. (Journal of Chemical Physics)
- Speeding molecular recognition by using the folding funnel: the fly-casting mechanism. (Proceedings of the National Academy of Sciences of the United States of America)
- Mechanism of coupled folding and binding of an intrinsically disordered protein (Nature)
- Geometric diffusions as a tool for harmonic analysis and structure definition of data: diffusion maps. (Proceedings of the National Academy of Sciences of the United States of America)
Their papers
- Variational Approach to Molecular Kinetics. (2014) — 300 citations
- PyEMMA 2: A Software Package for Estimation, Validation, and Analysis of Markov Models. (2015) — 1,097 citations
- Identification of slow molecular order parameters for Markov model construction. (2013) — 1,019 citations