Meiler, Jens

Potently neutralizing and protective human antibodies against SARS-CoV-2

Zost, S. J., Gilchuk, P., Case, J. B., Binshtein, E., Chen, R. E., Nkolola, J. P., Schäfer, A., Reidy, J. X., Trivette, A., Nargi, R. S., et al. (2020) · Nature

SARS-CoV-2 and COVID-19 ResearchMonoclonal and Polyclonal Antibodies Research

Cited by 1,041

Macromolecular modeling and design in Rosetta: recent methods and frameworks

Leman, J. K., Weitzner, B. D., Lewis, S. M., Adolf-Bryfogle, J., Alam, N., Alford, R. F., Aprahamian, M., Baker, D., Barlow, K. A., Barth, P., et al. (2020) · Nature Methods

Protein Structure and DynamicsComputational Drug Discovery Methods

Cited by 888

Sampling the conformational landscapes of transporters and receptors with AlphaFold2

del Alamo, D., Sala, D., Mchaourab, H. S., & Meiler, J. (2021) · eLife

Protein Structure and DynamicsReceptor Mechanisms and Signaling

Cited by 511

Sampling alternative conformational states of transporters and receptors with AlphaFold2

del Alamo, D., Sala, D., Mchaourab, H. S., & Meiler, J. (2022) · eLife

Protein Structure and DynamicsReceptor Mechanisms and Signaling

Cited by 511

Modeling conformational states of proteins with AlphaFold

Sala, D., Engelberger, F., Mchaourab, H. S., & Meiler, J. (2023) · Current Opinion in Structural Biology

Protein Structure and DynamicsEnzyme Structure and Function

Cited by 182

Benchmarking AlphaFold2 on peptide structure prediction

McDonald, E. F., Jones, T., Plate, L., Meiler, J., & Gulsevin, A. (2023) · Structure

Protein Structure and DynamicsEnzyme Structure and Function

Cited by 152

EGFR Fusions as Novel Therapeutic Targets in Lung Cancer

Konduri, K., Gallant, J.-N., Chae, Y. K., Giles, F. J., Gitlitz, B. J., Gowen, K., Ichihara, E., Owonikoko, T. K., Peddareddigari, V., Ramalingam, S. S., et al. (2016) · Cancer Discovery

Lung Cancer Treatments and MutationsHER2/EGFR in Cancer Research

Cited by 144

Bevacizumab plus chemotherapy continued beyond first progression in patients with metastatic colorectal cancer previously treated with bevacizumab plus chemotherapy: ML18147 study KRAS subgroup findings

Kubicka, S., Greil, R., André, T., Bennouna, J., Sastre, J., Van Cutsem, E., von Moos, R., Österlund, P., Reyes-Rivera, I., Müller, T., et al. (2013) · Annals of Oncology

Colorectal Cancer Treatments and StudiesColorectal Cancer Surgical Treatments

Cited by 104

Conformational Flexibility and Structural Dynamics in GPCR-Mediated G Protein Activation: A Perspective

Preininger, A. M., Meiler, J., & Hamm, H. E. (2013) · Journal of Molecular Biology

Receptor Mechanisms and SignalingProtein Structure and Dynamics

Cited by 104

Biasing AlphaFold2 to predict GPCRs and kinases with user-defined functional or structural properties

Sala, D., Hildebrand, P. W., & Meiler, J. (2023) · Frontiers in Molecular Biosciences

Protein Structure and DynamicsReceptor Mechanisms and Signaling

Cited by 80

Documentation of an Imperative To Improve Methods for Predicting Membrane Protein Stability

Kroncke, B. M., Duran, A. M., Mendenhall, J. L., Meiler, J., Blume, J. D., & Sanders, C. R. (2016) · Biochemistry

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 50

Improving homology modeling from low-sequence identity templates in Rosetta: A case study in GPCRs

Bender, B. J., Marlow, B., & Meiler, J. (2020) · PLoS Computational Biology

Receptor Mechanisms and SignalingProtein Structure and Dynamics

Cited by 44

Approximating Projections of Conformational Boltzmann Distributions with AlphaFold2 Predictions: Opportunities and Limitations

Brown, B. P., Stein, R. A., Meiler, J., & Mchaourab, H. S. (2024) · Journal of Chemical Theory and Computation

Protein Structure and DynamicsComputational Drug Discovery Methods

Cited by 41

Approximating conformational Boltzmann distributions with AlphaFold2 predictions

Brown, B. P., Stein, R. A., Meiler, J., & Mchaourab, H. (2023) · Journal of Chemical Theory and Computation

Protein Structure and DynamicsComputational Drug Discovery Methods

Cited by 41

Benchmarking AlphaMissense Pathogenicity Predictions Against Cystic Fibrosis Variants

McDonald, E. F., Oliver, K. E., Schlebach, J. P., Meiler, J., & Plate, L. (2023) · PLoS ONE

Genomics and Rare DiseasesCystic Fibrosis Research Advances

Cited by 39

Benchmarking AlphaMissense pathogenicity predictions against cystic fibrosis variants

McDonald, E. F., Oliver, K. E., Schlebach, J. P., Meiler, J., & Plate, L. (2024) · PLOS ONE

Genomics and Rare DiseasesCystic Fibrosis Research Advances

Cited by 39

MutationExplorer : a webserver for mutation of proteins and 3D visualization of energetic impacts

Philipp, M., Moth, C. W., Ristic, N., Tiemann, J. K. S., Seufert, F., Panfilova, A., Meiler, J., Hildebrand, P. W., Stein, A., Wiegreffe, D., et al. (2024) · Nucleic Acids Research

Protein Structure and DynamicsEnzyme Structure and Function

Cited by 35

Modeling of protein conformational changes with Rosetta guided by limited experimental data

Sala, D., del Alamo, D., Mchaourab, H. S., & Meiler, J. (2022) · Structure

Protein Structure and DynamicsEnzyme Structure and Function

Cited by 30

Modeling of protein conformational changes with Rosetta guided by limited experimental data

Sala, D., del Alamo, D., Mchaourab, H. S., & Meiler, J. (2022) · Structure

Protein Structure and DynamicsEnzyme Structure and Function

Cited by 30

Template-free prediction of a new monotopic membrane protein fold and assembly by AlphaFold2

Gulsevin, A., Han, B., Porta, J. C., Mchaourab, H. S., Meiler, J., & Kenworthy, A. K. (2023) · Biophysical Journal

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 16

Template-free prediction of a new monotopic membrane protein fold and oligomeric assembly by Alphafold2

Gulsevin, A., Han, B., Porta, J. C., Mchaourab, H. S., Meiler, J., & Kenworthy, A. K. (2022) · Biophysical Journal

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 16

Self-supervised machine learning methods for protein design improve sampling but not the identification of high-fitness variants

Ertelt, M., Moretti, R., Meiler, J., & Schoeder, C. T. (2025) · Science Advances

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 15

Self-supervised machine learning methods for protein design improve sampling, but not the identification of high-fitness variants

Ertelt, M., Moretti, R., Meiler, J., & Schoeder, C. T. (2024) · Science Advances

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 15

Advancements in Ligand-Based Virtual Screening through the Synergistic Integration of Graph Neural Networks and Expert-Crafted Descriptors

Liu, Y., Moretti, R., Wang, Y., Dong, H., Yan, B., Bodenheimer, B., Derr, T., & Meiler, J. (2025) · Journal of Chemical Information and Modeling

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 13