Author
B. Erman
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
Biology Disciplines
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2016-2022 · peak 3/yrCo-Author Collaboration Network
8 top collaborators · 9 mutual co-author links9 papers
Recent·Most cited
Binding mechanism of neutralizing Nanobodies targeting SARS-CoV-2 Spike Glycoprotein
M. Golcuk, A. Hacisuleyman, B. Erman, A. Yildiz, M. Gur
This study uses molecular dynamics simulations to analyze how three nanobodies bind to SARS-CoV-2 Spike RBD and affect ACE2 binding, revealing differences in their neutralizing mechanisms against variants.
bioRxiv · Apr 23, 2021Immunology
Synchronous and Asynchronous Response in Dynamically Perturbed Proteins
A. Erkip, A. Hacisuleyman, B. Erman, B. Erman
This study develops a Dynamic Gaussian Network Model to analyze protein perturbation and response, revealing synchronous and asynchronous dynamics and their role in allostery.
bioRxiv · Sep 14, 2020Biophysics
Comparative effects of oncogenic mutations G12C, G12V, G13D, and Q61H on local conformations and dynamics of K-Ras
S. Vatansever, B. Erman, Z. H. Gumus
This study compares the local conformational changes and dynamics of four K-Ras oncogenic mutants using molecular dynamics simulations to inform inhibitor development.
bioRxiv · Mar 26, 2020Biophysics
Fluctuation, correlation and perturbation-response behavior of nature-made and artificial nanobodies
A. Hacisuleyman, B. Erman, A. Erkip, B. Erman
The paper analyzes how mutations in nanobody CDRs affect protein dynamics using a computational model, identifying residues with different perturbation responses.
bioRxiv · Feb 6, 2020 · PreprintBiophysics
ModiBodies: A computational method for modifying nanobodies to improve their antigen binding affinity and specificity
This paper introduces ModiBodies, an algorithm that modifies nanobodies to enhance their antigen binding affinity and specificity through computational mutation of CDR domains.
bioRxiv · Oct 28, 2019Bioengineering
Oncogenic G12D mutation alters local conformations and dynamics of K-Ras
S. Vatansever, B. Erman, Z. Gumus
This study uses molecular dynamics simulations to show that the G12D mutation in K-Ras alters local conformations and dynamics, particularly in Switch-II and 3-helix regions, leading to a catalytically impaired state.
bioRxiv · Nov 12, 2018Biophysics
Causality, Transfer Entropy and Allosteric Communication Landscapes inProteins with Harmonic Interactions
The paper introduces a method to generate allosteric communication landscapes in proteins using entropy transfer and Gaussian Network Models, showing information transfer occurs through multiple pathways and causality is essential for accurate predictions.
bioRxiv · Nov 1, 2016Biophysics