Targeting BRF2: insights from in silico screening and molecular dynamic simulations.

The Transcription factor II B (TFIIB)­related factor 2 (BRF2) containing TFIIIB complex recruits RNA polymerase III multi-subunit complex to selective gene promoters that altogether are responsible for synthesizing a variety of small non-coding RNAs, including a special type of selenocysteine tRNA (tRNASec), micro-RNA (miRNA), and other regulatory RNAs. BRF2 has been identified as a potential oncogene that promotes cancer cell survival under oxidative stress through its genetic activation. The structure of the BRF2 protein was modeled using the Robetta server, refined, and validated using the Ramachandran plot. A virtual approach utilizing molecular docking was used to screen a natural compound library to determine potential compounds that can interact with the molecular pin motif of the BRF2 protein using Maestro (Schrodinger). Subsequent molecular dynamics simulation studies of the top four ligands that exhibited low glide scores were performed using GROMACS. The findings derived from the simulations, in conjunction with the exploration of hydrogen bonding patterns, evaluation of the free energy landscape, and thorough analysis of residue decomposition, collectively converged to emphasize the robust interaction characteristics exhibited by Ligand 366 (Deacetyl lanatoside C) and ligand 336 (Neogitogenin)-with the BRF2 protein. These natural compounds may be potential inhibitors of BRF2, which could modulate the regulation of selenoprotein synthesis in cancer cells. Targeting BRF2 using these promising compounds may offer a new therapeutic approach to sensitize cancer cells to ferroptosis and apoptosis.Communicated by Ramaswamy H. Sarma.

In silico identification of a promising inhibitor of Fusarium oxysporum f. sp. Lycopersici, Secreted in Xylem 1 protein.

Fusarium oxysporum f. sp. Lycopersici (FOL) is a soilborne pathogen that infects tomato plants and inflicts severe damage, resulting in heavy yield losses worldwide, causing Fusarium wilt disease. FOL encodes several pathogenicity factors necessary for colonizing and invading the host plants. Secreted in Xylem (SIX), a pathogenicity factor, is a small cysteine-rich fungal protein found in the xylem sap of FOL-infected tomato plants, which plays a major role in determining host specificity and in contributing to pathogenicity/virulence. However, the structure of SIX1 has not been modeled yet. Therefore, this study aimed to elucidate the structure of SIX1 by comparative modeling using Robetta server. The best possible structures obtained were then refined, validated, and utilized for subsequent analysis. An antifungal library comprising 16,824 compounds was screened to determine small molecules that can interact with SIX1. Five antifungal compounds were identified from the library. Further analyses revealed that, of the five ligands, 4-[(2-(3-methoxyphenoxy)acetyl)amino] benzamide exhibited the capacity to stably interact with SIX1. This shows that 4-[[2-(3-methoxyphenoxy)acetyl]amino] benzamide can be used as a potential candidate in the prevention of FOL infection. In summary, small-molecule inhibitors such as 4-[[2-(3-methoxyphenoxy)acetyl]amino] benzamide could be highly effective in combating FOL infection, along with biocontrol methods and strategies that use transgenic plants overexpressing resistance genes.

Identification of small molecule modulators of class II transactivator-I using computational approaches.

Major histocompatibility complex II (MHCII), a mediator of the innate and adaptive immune system, plays a central role in regulating inflammation and its progression. Class II transactivator (CIITA) is a master regulator of MHCII expression and controls antigen presentation followed by T-cell activation. Regulation of inflammation by modulation of CIITA has been suggested as a promising intervention for several disorders, including neuroinflammation, rheumatoid arthritis and other autoimmune diseases. This study aimed to (i) identify possible pharmacological agents which could bind to and inhibit isoform I of CIITA (CIITA-I) and (ii) determine their strength of interactions. The structure of CIITA-I isoform was predicted using phyre2 and refined via 3D refine. Loops were refined using ModBase, followed by quality assessment based on ERRAT value. The refined 3D structure was subjected to docking via Maestro (from Schrodinger) using glide module against small molecule databases. Molecules having the least glide score and favorable ADME properties were subjected to molecular simulation by GROMACS. We used the 3D refined structure of CIITA-I, with a score of 83.4% in ERRAT for docking studies. The ligand 4-(2-((6-oxo-4-phenyl-1,6-dihydropyrimidin-2-yl) thio) acetamido) benzamide (ZINC5154833), showed maximum glide score (-6.591) followed by N-[4-(3-oxo-3-{4-[3-(trifluoromethyl) phenyl] piperazin-1-yl} propyl)-1,3-thiazol-2-yl] benzamide (F5254-0161, glide score -6.41). Simulation studies using GROMACS showed F5254-0161 to have a more stable interaction with CIITA-I. Based on our analysis, we propose ZINC5154833 and F5254-0161 as potential modulators for CIITA-I.Communicated by Ramaswamy H. Sarma.

Repurposing of gastric cancer drugs against COVID-19.

Corona Virus Disease 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has become a global pandemic. Additionally, the SARS-CoV-2 infection in the patients of Gastric Cancer (GC; the third leading cause of death in the world) pose a great challenge for the health management of the patients. Since there have been uncertainties to develop a new drug against COVID-19, there is an urgent need for repurposing drugs that can target key proteins of both SARS-CoV-2 and GC. The SARS-CoV-2-RdRp protein contains the NiRAN domain, which is known to have kinase-like folds. A docking study of the FDA approved drugs against GC was performed using AutoDock 4.2 and Glide Schrodinger suite 2019 against SARS-CoV-2-RdRp protein. MMGBSA and MD simulation studies were performed to investigate the binding and stability of the inhibitors with the target protein. In this study, we have found 12 kinase inhibitors with high binding energies namely Baricitinib, Brepocitinib, Decernotinib, Fasudil, Filgotinib, GSK2606414, Peficitinib, Ruxolitinib, Tofacitinib, Upadacitinib, Pamapimod and Ibrutinib. These FDA approved drugs against GC can play a key role in the treatment of COVID-19 patients along with GC as comorbidity. We also hypothesize that JAK, ITK, Rho-associated kinases, FGFR2, FYN, PERK, TYK2, p38-MAPK and SYK kinases can be considered as key therapeutic targets in COVID-19 treatment. Taken altogether, we have proposed the SARS-CoV-2-RdRp as a potential therapeutic target through in-silico studies. However, further in-vitro and in-vivo studies are required for the validation of the proposed targets and drugs for the treatment of COVID-19 patients already suffering from GC.