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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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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

Activation of Apoptosis in Vivo by a Hydrocarbon-Stapled BH3 Helix

TL;DR: Hydrocarbon stapling of native peptides may provide a useful strategy for experimental and therapeutic modulation of protein-protein interactions in many signaling pathways.
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A decade of fragment-based drug design: strategic advances and lessons learned.

TL;DR: The development and evolution of fragment-based drug design is described, the role that this approach can have in combination with other discovery technologies and the impact that fragment- based methods have made in progressing new medicines into the clinic are highlighted.
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Structures of Lung Cancer-Derived Egfr Mutants and Inhibitor Complexes: Mechanism of Activation and Insights Into Differential Inhibitor Sensitivity

TL;DR: It is found that the mutations activate the EGFR kinase by disrupting autoinhibitory interactions, and that they accelerate catalysis as much as 50-fold in vitro.
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Accumulation of driver and passenger mutations during tumor progression

TL;DR: A mathematical model is provided that model tumors as a discrete time branching process that starts with a single driver mutation and proceeds as each new driver mutation leads to a slightly increased rate of clonal expansion, providing understanding of the heterogeneity in tumor sizes and development times that have been observed by epidemiologists and clinicians.
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Improving the Assessment of the Outcome of Nonsynonymous SNVs with a Consensus Deleteriousness Score, Condel

TL;DR: An effective approach to integrating the output of some of these tools into a unified classification is proposed based on a weighted average of the normalized scores of the individual methods (WAS), which shows that this WAS outperforms each individual method in the task of classifying missense SNVs as deleterious or neutral.
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