What is he best known for?
The fields of study he is best known for:
His primary areas of study are Protein structure, Crystallography, Protein structure prediction, Nuclear magnetic resonance spectroscopy and Computational biology.
His Protein structure research is multidisciplinary, incorporating elements of Docking, Root-mean-square deviation, Biological system, Site-directed spin labeling and Algorithm.
Jens Meiler interconnects Small molecule and Bioinformatics in the investigation of issues within Docking.
His Crystallography research includes elements of Arrestin, Biophysics, Protein folding, Receptor and Rhodopsin.
His Nuclear magnetic resonance spectroscopy research incorporates elements of Pharmacophore and Chemical shift.
The concepts of his Computational biology study are interwoven with issues in Data mining, Differential effects, Selective modulation, Data science and Drug discovery.
His most cited work include:
- ROSETTA3: an object-oriented software suite for the simulation and design of macromolecules. (1210 citations)
- Recognition Dynamics Up to Microseconds Revealed from an RDC-Derived Ubiquitin Ensemble in Solution (851 citations)
- Computational Methods in Drug Discovery (710 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Biophysics, Protein structure, Computational biology, Biochemistry and Crystallography.
His work deals with themes such as Helix, Receptor, Transmembrane domain, Membrane protein and Binding site, which intersect with Biophysics.
His Protein structure study deals with Biological system intersecting with Artificial neural network.
His Computational biology research is multidisciplinary, incorporating elements of Homology modeling, Docking, Function and Drug discovery.
Jens Meiler combines subjects such as Nuclear magnetic resonance spectroscopy and Protein secondary structure with his study of Crystallography.
His Protein structure prediction study combines topics in areas such as Protein tertiary structure, Protein design and Protein folding.
He most often published in these fields:
- Biophysics (21.14%)
- Protein structure (17.55%)
- Computational biology (15.86%)
What were the highlights of his more recent work (between 2019-2021)?
- Biophysics (21.14%)
- Cell biology (9.09%)
- Computational biology (15.86%)
In recent papers he was focusing on the following fields of study:
Jens Meiler spends much of his time researching Biophysics, Cell biology, Computational biology, Receptor and Docking.
His Biophysics research is multidisciplinary, relying on both Integral membrane protein, Electrophysiology, Membrane, Transmembrane domain and Ion channel.
His studies in Computational biology integrate themes in fields like Antigen, Function, Homology modeling, Protein structure prediction and Sequence.
The Receptor study combines topics in areas such as C-terminus and Peptide.
His biological study spans a wide range of topics, including Machine learning, Small molecule, Drug discovery and Artificial intelligence.
The study incorporates disciplines such as Pharmacophore and Artificial neural network in addition to Virtual screening.
Between 2019 and 2021, his most popular works were:
- Potently neutralizing and protective human antibodies against SARS-CoV-2. (319 citations)
- Potently neutralizing and protective human antibodies against SARS-CoV-2. (319 citations)
- Macromolecular modeling and design in Rosetta: recent methods and frameworks (61 citations)
In his most recent research, the most cited papers focused on:
His main research concerns Docking, Computational biology, Antibody, Biophysics and Homology modeling.
The various areas that Jens Meiler examines in his Docking study include Receptor, Small molecule, Drug discovery and Artificial intelligence.
His research investigates the link between Computational biology and topics such as Protein structure prediction that cross with problems in Monte Carlo method, Site-directed spin labeling, Spin label and Leverage.
He interconnects Antigen and Virology in the investigation of issues within Antibody.
His study on Biophysics also encompasses disciplines like
- Structural biology that connect with fields like Xenopus, Potassium channel, Ion channel and Molecular dynamics,
- Molecular biophysics that intertwine with fields like KCNE3 and Allosteric regulation.
His work carried out in the field of Epitope brings together such families of science as Cell culture, Inflammation, Viral load, Humoral immunity and Monoclonal antibody.
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