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Journal ArticleDOI

Influence of Amino Acid Mutations and Small Molecules on Targeted Inhibition of Proteins Involved in Cancer.

TLDR
Understanding and bridging mutations and altered PPIs will provide insights into the alarming signals leading to massive malfunctioning of a biological system in various diseases.
Abstract
Background Protein-protein interactions (PPIs) are of crucial importance in regulating the biological processes of cells both in normal and diseased conditions. Significant progress has been made in targeting PPIs using small molecules and achieved promising results. However, PPI drug discovery should be further accelerated with better understanding of chemical space along with various functional aspects. Objective In this review, we focus on the advancements in computational research for targeted inhibition of protein-protein interactions involved in cancer. Methods Here, we mainly focused on two aspects: (i) understanding the key roles of amino acid mutations in epidermal growth factor receptor (EGFR) as well as mutation-specific inhibitors and (ii) design of small molecule inhibitors for Bcl-2 to disrupt PPIs. Results The paradigm of PPI inhibition to date reflect the certainty that inclination towards novel and versatile strategies enormously dictate the success of PPI inhibition. As the chemical space highly differs from the normal drug like compounds the lead optimization process has to be given the utmost priority to ensure the clinical success. Here, we provided a broader perspective on effect of mutations in oncogene EGFR connected to Bcl-2 PPIs and focused on the potential challenges. Conclusion Understanding and bridging mutations and altered PPIs will provide insights into the alarming signals leading to massive malfunctioning of a biological system in various diseases. Finding rational elucidations from a pharmaceutical stand point will presumably broaden the horizons in future.

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Citations
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Journal ArticleDOI

Current progress and future perspectives of polypharmacology : From the view of non-small cell lung cancer

TL;DR: Drug repositioning introduces an affordable and efficient strategy to discover novel drug action, especially when integrated with recent systems biology driven stratagem, in combination with conventional anticancer agents to combat drug resistance in the near future.
Journal ArticleDOI

Forging New Scaffolds from Old: Combining Scaffold Hopping and Hierarchical Virtual Screening for Identifying Novel Bcl-2 Inhibitors.

TL;DR: A novel attempt in terms of blending scaffold hopping and hierarchical virtual screening in order to assess the hybrid method for its efficacy in identifying active lead molecules for emerging PPI target Bcl-2 (B-cell Lymphoma 2).
References
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Journal ArticleDOI

Protein-protein interactions as drug targets.

TL;DR: The current state of small-molecule inhibition and stabilization of PPIs is summarized and the active molecules from a structural and medicinal chemistry angle are reviewed, especially focusing on the key examples of iNOS, LFA-1 and 14-3-3.
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Stapled peptides: Magic bullets in nature's arsenal.

TL;DR: This study describes how “peptide stapling,” a technique for making peptide α-helices more potent and cell permeable, allows the design of MCL-1 inhibitors with extraordinary selectivity.
Journal ArticleDOI

Phosphorylation-Dependent Protein-Protein Interaction Modules As Potential Molecular Targets for Cancer Therapy

TL;DR: A high-throughput screen that is developed to identify small-molecule inhibitors of phosphorylation-dependent protein-protein interactions is introduced and an example is presented, and the potential uses of this system are discussed.
Journal ArticleDOI

Discrimination of driver and passenger mutations in epidermal growth factor receptor in cancer.

TL;DR: This work has developed a method to classify single amino acid polymorphisms in EGFR into disease-causing (driver) and neutral (passenger) mutations using both sequence and structure based features of the mutation site by machine learning approaches, superior to other methods available in the literature for EGFR mutants.
Journal ArticleDOI

Exploring preferred amino acid mutations in cancer genes: Applications to identify potential drug targets.

TL;DR: It is observed that R→H substitution is dominant in drivers followed by R→Q and R→C whereas E→K has the highest preference in passenger mutations.
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