Epigallocatechin gallate regulates the myeloid-specific transcription factor PU.1 in macrophages.

Our previous research demonstrated that PU.1 regulates expression of the genes involved in inflammation in macrophages. Selective knockdown of PU.

Identification of Multi-kinase Allosteric Inhibitors of Oncogenic Targets EGFR1, PI3K, and BRAF Kinase.

Aim: This study aimed to identify promising allosteric inhibitors with the potential to inhibit EGFR1, PI3K, and BRAF kinases as a single agent or in a combination of existing drugs, thus acting as a therapeutic option when traditional drugs fail to give a beneficial response in disease pathology.

Background: Upregulation of EGFR1 activates several downstream signaling pathways, resulting in pathophysiological alterations that contribute to cancer. The RAS/RAF/MEK/ERK (MAPK) and PI3K/Akt/mTOR (PI3K/Akt/mTOR) pathways are major downstream signalling partners induced by EGFR1 activation.

Identification of novel allosteric binding sites and multi-targeted allosteric inhibitors of receptor and non-receptor tyrosine kinases using a computational approach.

EGFR1, VEGFR2, Bcr-Abl and Src kinases are key drug targets in non-small cell lung cancer (NSCLC), bladder cancer, pancreatic cancer, CML, ALL, colorectal cancer, etc. The available drugs targeting these kinases have limited therapeutic efficacy due to novel mutations resulting in drug resistance and toxicity, as they target ATP binding site. Allosteric drugs have shown promising results in overcoming drug resistance, but the discovery of allosteric drugs is challenging.

Biased signaling: potential agonist and antagonist of PAR2.

Protease activated receptor 2 (PAR2) has emerged as one of the promising therapeutic targets to inhibit rapidly metastasizing breast cancer cells. However, its elusive molecular mechanism of activation and signaling has made it a difficult target for drug development. In this study, in silico methods were used to unfold PAR2 molecular mechanism of signaling based on the concept of GPCR receptor plasticity.

Protease activated receptor-2 (PAR2): possible target of phytochemicals.

The use of phytochemicals either singly or in combination with other anticancer drugs comes with an advantage of less toxicity and minimal side effects. Signaling pathways play central role in cell cycle, cell growth, metabolism, etc. Thus, the identification of phytochemicals with promising antagonistic effect on the receptor/s playing key role in single transduction may have better therapeutic application.

Structure and putative signaling mechanism of Protease activated receptor 2 (PAR2) - a promising target for breast cancer.

Experimental evidences have observed enhanced expression of protease activated receptor 2 (PAR2) in breast cancer consistently. However, it is not yet recognized as an important therapeutic target for breast cancer as the primary molecular mechanisms of its activation are not yet well-defined. Nevertheless, recent reports on the mechanism of GPCR activation and signaling have given new insights to GPCR functioning.

Screening of phytochemicals against protease activated receptor 1 (PAR1), a promising target for cancer.

Context: Drug resistance and drug-associated toxicity are the primary causes for withdrawal of many drugs, although patient recovery is satisfactory in many instances. Interestingly, the use of phytochemicals in the treatment of cancer as an alternative to synthetic drugs comes with a host of advantages; minimum side effects, good human absorption and low toxicity to normal cells. Protease activated receptor 1 (PAR1) has been established as a promising target in many diseases including various cancers.

Sequence-structure based phylogeny of GPCR Class A Rhodopsin receptors.

Current methods of G protein coupled receptors (GPCRs) phylogenetic classification are sequence based and therefore inappropriate for highly divergent sequences, sharing low sequence identity. In this study, sequence structure profile based alignment generated by PROMALS3D was used to understand the GPCR Class A Rhodopsin superfamily evolution using the MEGA 5 software. Phylogenetic analysis included a combination of Neighbor-Joining method and Maximum Likelihood method, with 1000 bootstrap replicates.