Kinases Phosphatases, Volume 1, Issue 2 (June 2023) – 3 articles

Protein kinase CK2 is a Ser/Thr protein kinase that phosphorylates hundreds of substrates mainly related to survival and proliferation pathways. It has long been considered an anti-cancer drug target. However, during the recent COVID-19 pandemic, CK2 inhibitors have been repurposed as anti-SARS-CoV-2 drugs. This was based on the initial finding of CK2 among the proteins of the host cell that interact with the viral proteins and modulate the infection. Since then, several studies have deepened our understanding of the CK2/COVID-19 connection, and we deem it is time to review all the findings. Interestingly, other coronaviruses cross-talk with CK2 as well, with similarities and differences compared to the SARS-CoV-2 case. Therefore, we believe that the analysis of the effects obtained by targeting CK2 in case of coronavirus infections, both at the molecular and phenomenological level, will help in extrapolating information that could be useful not only for COVID-19 (whose pandemic emergency is hopefully turning off) but also for other infections. Full article

The goal of drug discovery is to uncover new molecules with specific chemical properties that can be used to cure diseases. With the accessibility of machine learning techniques, the approach used in this search has become a significant component in computer science in recent years. To meet the Precision Medicine Initiative’s goals and the additional obstacles that they have created, it is vital to develop strong, consistent, and repeatable computational approaches. Predictive models based on machine learning are becoming increasingly crucial in preclinical investigations. In discovering novel pharmaceuticals, this step substantially reduces expenses and research times. The human kinome contains various kinase enzymes that play vital roles through catalyzing protein phosphorylation. Interestingly, the dysregulation of kinases causes various human diseases, viz., cancer, cardiovascular disease, and several neuro-degenerative disorders. Thus, inhibitors of specific kinases can treat those diseases through blocking their activity as well as restoring normal cellular signaling. This review article discusses recent advancements in computational drug design algorithms through machine learning and deep learning and the computational drug design of kinase enzymes. Analyzing the current state-of-the-art in this sector will offer us a sense of where cheminformatics may evolve in the near future and the limitations and beneficial outcomes it has produced. The approaches utilized to model molecular data, the biological problems addressed, and the machine learning algorithms employed for drug discovery in recent years will be the emphasis of this review. Full article

Ras, a GTP-GDP binary switch protein, transduces signals from diverse receptors to regulate various signaling networks. Three Ras genes encode for protein isoforms, namely, Harvey Ras (H-Ras), Kirsten Ras (K-Ras, with two splice variants, K-Ras4A and K-Ras4B), and Neuroblastoma Ras (N-Ras). The isoforms undergo a series of post-translational modifications that enable their membrane attachment and biological activity. The activation of Ras isoforms is tightly regulated, and any dysregulation affects cellular processes, such as cell division, apoptosis, differentiation, cell migration, etc. The Ras gene is highly prone to mutation, and ~30% of cancers carry somatic mutations in Ras, whereas germline mutations clinically manifest as various rasopathies. In addition to regulation by the Guanine nucleotide exchange factors and the GTPase activation proteins, Ras signaling, and localization are also regulated by phosphorylation-dephosphorylation, ubiquitination, nitrosylation, and acetylation. Herein, we review the regulation of Ras signaling and localization by various regulatory enzymes in depth and assess the current status of Ras drug discovery targeting these regulatory enzymes. Full article