Quantum binding energies of checkpoint CTLA-4 in complex with the immuno-oncological drug ipilimumab

Literature Information

Publication Date 2021-06-28
DOI 10.1039/D1CP01977E
Impact Factor 3.676
Authors

E. L. Albuquerque


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Abstract

Inhibition of the checkpoint protein CTLA-4 by the US-FDA's approved monoclonal antibody ipilimumab has delivered breakthrough therapies against a wide range of cancers, being an important issue for clinical research. To date, many structural properties of this drug have been unveiled. However, the binding energy features of the receptor CTLA-4 in complex with its drug inhibitor, based on crystallographic data, need a deeper understanding. Within this context, by employing quantum chemistry we investigate in silico the binding energy features of the checkpoint protein CTLA-4 in complex with its drug inhibitor, highlighting the most relevant residue–residue interactions, looking for new insights into the mechanisms of pathway blockade to further engineer its affinity and selectivity. Our computational results not only give a better understanding of the binding mechanisms, but also point to an efficient alternative towards the development of antibody-based drugs, leading to new treatments for cancer therapy based upon immunotherapy.

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Source Journal

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
Articles per Year: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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