Dhanusha Yesudhas

Toll-like receptors: promising therapeutic targets for inflammatory diseases

The health of living organisms is constantly challenged by bacterial and viral threats. The recognition of pathogenic microorganisms by diverse receptors triggers a variety of host defense mechanisms, leading to their eradication. Toll-like receptors (TLRs), which are type I transmembrane proteins, recognize specific signatures of the invading microbes and activate a cascade of downstream signals inducing the secretion of inflammatory cytokines, chemokines, and type I interferons. The TLR response not only counteracts the pathogens but also initiates and shapes the adaptive immune response. Under normal conditions, inflammation is downregulated after the removal of the pathogen and cellular debris. However, a dysfunctional TLR-mediated response maintains a chronic inflammatory state and leads to local and systemic deleterious effects in host cells and tissues. Such inappropriate TLR response has been attributed to the development and progression of multiple diseases such as cancer, autoimmune, and inflammatory diseases. In this review, we discuss the emerging role of TLRs in the pathogenesis of inflammatory diseases and how targeting of TLRs offers a promising therapeutic strategy for the prevention and treatment of various inflammatory diseases. Additionally, we highlight a number of TLR-targeting agents that are in the developmental stage or in clinical trials.

Multiple roles of toll-like receptor 4 in colorectal cancer

Toll-like receptor (TLR) signaling has been implicated in the inflammatory responses in intestinal epithelial cells (IECs). Such inflammatory signals mediate complex interactions between commensal bacteria and TLRs and are required for IEC proliferation, immune response, repair, and homeostasis. The upregulation of certain TLRs in colorectal cancer (CRC) tissues suggests that TLRs may play an essential role in the prognosis of chronic and inflammatory diseases that ultimately culminate in CRC. Here, we provide a comprehensive review of the literature on the involvement of the TLR pathway in the initiation, progression, and metastasis of CRC, as well as inherited genetic variation and epigenetic regulation. The differential expression of TLRs in epithelial cells has also been discussed. In particular, we emphasize the physiological role of TLR4 in CRC development and pathogenesis, and propose novel and promising approaches for CRC therapeutics with the aid of TLR ligands.

A structural insight into the negative effects of opioids in analgesia by modulating the TLR4 signaling: An in silico approach

Opioids are considered the gold standard therapy for pain. However, TLR-dependent negative effects in analgesia have highlighted the complexities in the pharmacodynamics of opioids. While successive studies have reported that morphine and Morphine-3-glucuronide (M3G) activate the TLR4 pathway, the structural details of this mechanism are lacking. Here, we have utilized various computational tools to reveal the structural dynamics of the opioid-bound TLR4/MD2 complex, and have proposed a potential TLR4 activation mechanism. Our results support previous findings, and include the novel insight that the stable binding of morphine and naloxone, but not M3G, in the MD2 cavity, is TLR4 dependent. Morphine interacts with MD2 near its Phe126 loop to induce the active conformation (MD2C); however, this binding is likely reversible, and the complex gains stability upon interaction with TLR4. M3G also induces the MD2C state, with both the Phe126 loop and the H1 loop being involved in MD2-M3G complex stability. Remarkably, naloxone, which requires TLR4 interaction for complex stability, switches the conformation of the gating loop to the inactive state (MD2°). Cumulatively, our findings suggest that ligand binding and receptor clustering occur successively in opioid-induced TLR4 signaling, and that MD2 plasticity and pocket hydrophobicity are crucial for the recognition and accommodation of ligands.

A Combined Molecular Docking/Dynamics Approach to Probe the Binding Mode of Cancer Drugs with Cytochrome P450 3A4

Cytarabine, daunorubicin, doxorubicin and vincristine are clinically used for combinatorial therapies of cancers in different combinations. However, the knowledge about the interaction of these drugs with the metabolizing enzyme cytochrome P450 is limited. Therefore, we utilized computational methods to predict and assess the drug-binding modes. In this study, we performed docking, MD simulations and free energy landscape analysis to understand the drug-enzyme interactions, protein domain motions and the most populated free energy minimum conformations of the docked protein-drug complexes, respectively. The outcome of docking and MD simulations predicted the productive, as well as the non-productive binding modes of the selected drugs. Based on these interaction studies, we observed that S119, R212 and R372 are the major drug-binding residues in CYP3A4. The molecular mechanics Poisson–Boltzmann surface area analysis revealed the dominance of hydrophobic forces in the CYP3A4-drug association. Further analyses predicted the residues that may contain favorable drug-specific interactions. The probable binding modes of the cancer drugs from this study may extend the knowledge of the protein-drug interaction and pave the way to design analogs with reduced toxicity. In addition, they also provide valuable insights into the metabolism of the cancer drugs.

Structural Mechanism behind Distinct Efficiency of Oct4/Sox2 Proteins in Differentially Spaced DNA Complexes.

The octamer-binding transcription factor 4 (Oct4) and sex-determining region Y (SRY)-box 2 (Sox2) proteins induce various transcriptional regulators to maintain cellular pluripotency. Most Oct4/Sox2 complexes have either 0 base pairs (Oct4/Sox20bp) or 3 base pairs (Oct4/Sox23bp) separation between their DNA-binding sites. Results from previous biochemical studies have shown that the complexes separated by 0 base pairs are associated with a higher pluripotency rate than those separated by 3 base pairs. Here, we performed molecular dynamics (MD) simulations and calculations to determine the binding free energy and per-residue free energy for the Oct4/Sox20bp and Oct4/Sox23bp complexes to identify structural differences that contribute to differences in induction rate. Our MD simulation results showed substantial differences in Oct4/Sox2 domain movements, as well as secondary-structure changes in the Oct4 linker region, suggesting a potential reason underlying the distinct efficiencies of these complexes during reprogramming. Moreover, we identified key residues and hydrogen bonds that potentially facilitate protein-protein and protein-DNA interactions, in agreement with previous experimental findings. Consequently, our results confess that differential spacing of the Oct4/Sox2 DNA binding sites can determine the magnitude of transcription of the targeted genes during reprogramming.

PAMAM/5-fluorouracil drug conjugate for targeting E6 and E7 oncoproteins in cervical cancer: a combined experimental/in silico approach

In the present study, poly(amidoamine)/5-fluorouracil (PAMAM/5-FU) was prepared and used as a conjugate system for delivering drugs to target E6 and E7 oncoproteins, which are predominant in cervical cancers. Specifically, molecular docking analysis was used to investigate the interaction between the PAMAM/5-FU and E6/E7 oncoproteins, which showed that the PAMAM/5-FU conjugate had a higher affinity for the oncoprotein than for 5-FU. Different generations of PAMAM dendrimers (0.5G, 1.0G, 1.5G, 2.0G, and 2.5G) were synthesized, characterized and tested as drug carriers for 5-FU. The PAMAM and PAMAM/5-FU drug conjugate showed less toxicity over COS-7 and HeLa cell lines. Laser confocal imaging and western blotting for tumor suppressor proteins pRb and p53 were used to confirm the interaction of PAMAM/5-FU with E6/E7 oncoproteins. Hematological analysis of PAMAM/5-FU using BALB/c female mice with cervical cancer confirmed the less toxic nature of this material. Based on these results, the developed PAMAM/5-FU conjugate is a potential candidate for the treatment of cervical cancer.

Toll‐like receptor 2 antagonists identified through virtual screening and experimental validation

Toll‐like receptor 2 (TLR2) antagonists are key therapeutic targets because they inhibit several inflammatory diseases caused by surplus TLR2 activation. In this study, we identified two novel nonpeptide TLR2 antagonists, C11 and C13, through pharmacophore‐based virtual screening. At 10 μm, the level of interleukin (IL)‐8 inhibition by C13 and C11 in human embryonic kidney TLR2 overexpressing cells was comparable to the commercially available TLR2 inhibitor CU‐CPT22. In addition, C11 and C13 acted in mouse macrophage‐like RAW 264.7 cells as TLR2‐specific inhibitors and did not suppress the tumor necrosis factor‐α induction by TLR3 and TLR4 activators. Moreover, the two identified compounds bound directly to the human recombinant TLR2 ectodomain, during surface plasmon resonance analysis, and did not affect cell viability in a 3‐(4,5‐dimethylthiazol‐2‐yl)‐5(3‐carboxymethonyphenol)‐2‐(4‐sulfophenyl)‐2H‐tetrazolium assay. In total, two virtually screened molecules, C11 and C13, were experimentally proven to be effective as TLR2 antagonists, and thus will provide new insights into the structure of TLR2 antagonists, and pave the way for the development of TLR2‐targeted drug molecules.

Structural and conformational insights into SOX2/OCT4-bound enhancer DNA: a computational perspective

The potential role of sex determining region Y-box 2 (SOX2) and octamer-binding transcription factor 4 (OCT4) are increasingly discussed in stem cell maintenance either in the context of iPSCs (induced pluripotent stem cells) generation or cancer stem cell growth. These proteins bind to the enhancer and drive the transcription of a multitude of other factors that facilitate stem cell propagation. Here, we elucidated the mechanism of changes in DNA shape and the precise role of the interaction with the proteins, which is necessary to manipulate this ternary complex. Besides bending the DNA, SOX2 drove the DNA into the A-form, whereas OCT4 preferentially shaped DNA into a B-like conformation. SOX2 binding expanded the minor groove with simultaneous shrinkage of the major grove. Greater fluctuation in the DNA and bound proteins was observed after disruption of the protein–protein interaction. Dynamic cross-correlation of DNA atoms was found to be variable, and entropy of DNA atoms from DNA-wild-type-SOX2/OCT4 (DNAWT) was the lowest among the various complexes. Moreover, essential dynamics-based conformational analysis revealed vivid conformational variation both in DNA alone and in protein bound complexes. Physical parameters such as the diffusion coefficient and dipole moment were also substantially different for DNA from the DNAWT complex. Taken together, our results establish a link between protein–protein and protein–DNA interactions, which will facilitate devising various strategies to modulate this complex in order to regulate the transcription of various proteins.

Structural insights into the Middle East respiratory syndrome coronavirus 4a protein and its dsRNA binding mechanism

Middle East respiratory syndrome coronavirus (MERS-CoV) has evolved to navigate through the sophisticated network of a host’s immune system. The immune evasion mechanism including type 1 interferon and protein kinase R-mediated antiviral stress responses has been recently attributed to the involvement of MERS-CoV protein 4a (p4a) that masks the viral dsRNA. However, the structural mechanism of how p4a recognizes and establishes contacts with dsRNA is not well explained. In this study, we report a dynamic mechanism deployed by p4a to engage the viral dsRNA and make it unavailable to the host immune system. Multiple variants of p4a-dsRNA were created and investigated through extensive molecular dynamics procedures to highlight crucial interfacial residues that may be used as potential pharmacophores for future drug development. The structural analysis revealed that p4a exhibits a typical αβββα fold structure, as found in other dsRNA-binding proteins. The α1 helix and the β1-β2 loop play a crucial role in recognizing and establishing contacts with the minor grooves of dsRNA. Further, mutational and binding free energy analyses suggested that in addition to K63 and K67, two other residues, K27 and W45, might also be crucial for p4a-dsRNA stability.

Proteins Recognizing DNA: Structural Uniqueness and Versatility of DNA-Binding Domains in Stem Cell Transcription Factors

Proteins in the form of transcription factors (TFs) bind to specific DNA sites that regulate cell growth, differentiation, and cell development. The interactions between proteins and DNA are important toward maintaining and expressing genetic information. Without knowing TFs structures and DNA-binding properties, it is difficult to completely understand the mechanisms by which genetic information is transferred between DNA and proteins. The increasing availability of structural data on protein-DNA complexes and recognition mechanisms provides deeper insights into the nature of protein-DNA interactions and therefore, allows their manipulation. TFs utilize different mechanisms to recognize their cognate DNA (direct and indirect readouts). In this review, we focus on these recognition mechanisms as well as on the analysis of the DNA-binding domains of stem cell TFs, discussing the relative role of various amino acids toward facilitating such interactions. Unveiling such mechanisms will improve our understanding of the molecular pathways through which TFs are involved in repressing and activating gene expression.