Comparative molecular dynamics analyses on PIK3CA hotspot mutations with PI3Kα specific inhibitors and ATP. (August 2022)
- Record Type:
- Journal Article
- Title:
- Comparative molecular dynamics analyses on PIK3CA hotspot mutations with PI3Kα specific inhibitors and ATP. (August 2022)
- Main Title:
- Comparative molecular dynamics analyses on PIK3CA hotspot mutations with PI3Kα specific inhibitors and ATP
- Authors:
- Menteş, Muratcan
Karakuzulu, Başak Buse
Uçar, Gönlüm Bahar
Yandım, Cihangir - Abstract:
- Abstract: PI3K pathway is heavily emphasized in cancer where PIK3CA, which encodes for the p110α subunit of PI3Kα, presents itself as the second most common mutated gene. A lot of effort has been put in developing PI3K inhibitors, opening promising avenues for the treatment of cancer. Among these, PI3Kα specific inhibitor alpelisib was approved by FDA for breast cancer and other α-isoform specific inhibitors such as inavolisib and serabelisib reached clinical trials. However, the mode of action of these inhibitors on mutated PI3Kα and how they interact with mutant structures has not been fully elucidated yet. In this study, we are revealing the calculated interactions and binding affinities of these inhibitors within the context of PIK3CA hotspot mutations (E542K, E545K and H1047R) by employing molecular dynamics (MD) simulations. We performed principal component analysis to understand the motions of the protein complex during our simulations and also checked the correlated motions of all amino acids. Binding affinity calculations with MM-PBSA confirmed the consistent binding of alpelisib across mutations and revealed relatively higher affinities for inavolisib towards wild-type and H1047R mutant structures in comparison to other inhibitors. On the other hand, E542K mutation significantly impaired the interaction of inavolisib and serabelisib with PI3Kα. We also investigated the structural relationship of the natural ligand ATP with PI3Kα, and interestingly realized aAbstract: PI3K pathway is heavily emphasized in cancer where PIK3CA, which encodes for the p110α subunit of PI3Kα, presents itself as the second most common mutated gene. A lot of effort has been put in developing PI3K inhibitors, opening promising avenues for the treatment of cancer. Among these, PI3Kα specific inhibitor alpelisib was approved by FDA for breast cancer and other α-isoform specific inhibitors such as inavolisib and serabelisib reached clinical trials. However, the mode of action of these inhibitors on mutated PI3Kα and how they interact with mutant structures has not been fully elucidated yet. In this study, we are revealing the calculated interactions and binding affinities of these inhibitors within the context of PIK3CA hotspot mutations (E542K, E545K and H1047R) by employing molecular dynamics (MD) simulations. We performed principal component analysis to understand the motions of the protein complex during our simulations and also checked the correlated motions of all amino acids. Binding affinity calculations with MM-PBSA confirmed the consistent binding of alpelisib across mutations and revealed relatively higher affinities for inavolisib towards wild-type and H1047R mutant structures in comparison to other inhibitors. On the other hand, E542K mutation significantly impaired the interaction of inavolisib and serabelisib with PI3Kα. We also investigated the structural relationship of the natural ligand ATP with PI3Kα, and interestingly realized a significant reduction in binding affinity for the mutants, with potentially unexpected implications on the mechanisms that render these mutations oncogenic. Moreover, correlated motions of all residues were generally higher for ATP except the H1047R mutation which exhibited a distinguishable reduction. The results presented here could be guiding for pre-clinical and clinical studies of personalized medicine where individual mutations are a strong consideration point. Graphical Abstract: ga1 Highlights: Hotspot mutations caused changes in the binding of PI3Kα inhibitors except alpelisib. Inavolisib had higher affinities than alpelisib for wild-type and H1047R mutant. Binding affinity of ATP was clearly reduced in the presence of hotspot mutations. Correlated motion of alpelisib had relatively higher resemblance with that of ATP. Among the mutations, H1047R displayed the least correlated motion in general. … (more)
- Is Part Of:
- Computational biology and chemistry. Volume 99(2022)
- Journal:
- Computational biology and chemistry
- Issue:
- Volume 99(2022)
- Issue Display:
- Volume 99, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 99
- Issue:
- 2022
- Issue Sort Value:
- 2022-0099-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-08
- Subjects:
- ATP Adenosine Triphosphate -- DCCM Dynamic Cross-Correlation Matrix -- DOPE Discrete Optimized Protein Energy -- DSSP Define Secondary Structures of Proteins -- FDA U.S. Food and Drug Administration -- FEL Free Energy Landscape, -- GAFF The General Amber Force Field -- MD Molecular Dynamics, -- MM-PBSA Molecular Mechanics Poisson-Boltzmann Surface Area -- NPT constant number of particles, system pressure, and temperature -- NVT constant number of particles, system volume, and temperature -- PCA Principal Component Analysis, -- PDB Protein Data Bank -- PI3K Phosphoinositide 3-kinase -- PIK3CA PI3K Catalytic Subunit A -- PIP2 Phosphatidylinositol 4, 5-bisphosphate -- PIP3 Phosphatidylinositol 3, 4, 5-bisphosphate -- PME Particle Mesh Ewald -- RMSD Root Mean Square Deviation, -- RMSF Root Mean square Fluctuation -- VdW Van der Waals -- WT Wild-Type
PIK3CA -- PI3K -- H1047R -- E545K -- E542K -- Alpelisib -- Serabelisib -- Inavolisib -- Molecular dynamics -- ATP
Chemistry -- Data processing -- Periodicals
Biology -- Data processing -- Periodicals
Biochemistry -- Data processing
Biology -- Data processing
Molecular biology -- Data processing
Periodicals
Electronic journals
542.85 - Journal URLs:
- http://www.sciencedirect.com/science/journal/14769271 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compbiolchem.2022.107726 ↗
- Languages:
- English
- ISSNs:
- 1476-9271
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- Legaldeposit
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