Brute Force Virtual Drug Screening with Molecular Dynamics Simulation and MM/PBSA to Find Potent Inhibitors of METTL16.

Epitranscriptomic modification is a dynamic modification of RNAs. Epitranscriptomic writer proteins are methyltransferases, such as METTL3 and METTL16. The up regulation of METTL3 have been found to be linked to different cancers and targeting METTL3 is an effective way to reduce tumour progression. Drug development against METTL3 is an active field of research. METTL16, SAM dependent methyltransferase, is another writer protein, that has been found to be upregulated in hepatocellular carcinoma and gastric cancer. In this pioneering study METTL16 has been targeted for virtual drug screening for the very first time using brute force strategy to identify a drug molecule that could be repurposed for the treatment of the disease caused. An unbiased library of the commercially available drug molecules has been used for screening using a multipoint validation process developed for this work, which includes molecular docking, ADMET analysis, protein-ligand interaction analysis, Molecular Dynamics Simulation, binding energy calculation via Molecular Mechanics Poisson-Boltzmann Surface Area method. Upon the in-silico screening of over 650 drugs the authors have found NIL and VXL passed the validation process. The data strongly indicates the potency of these two drugs in the treatment of disease where METTL16 needs to be inhibited.

Amentoflavone and methyl hesperidin, novel lead molecules targeting epitranscriptomic modulator in acute myeloid leukemia: in silico drug screening and molecular dynamics simulation approach.

INTRODUCTION: M6A modification in transcriptome is critical in regulating different cellular processes, including cancer. In human beings, METTL3 is the major m6A writer that works in association with METTL14, an accessory protein. Extensive study revealed that cancer progression for acute myeloid leukemia, gastric cancer, colorectal cancer, hepatocellular carcinoma, and lung cancer is directly contributed by irregular expression of METTL3. OBJECTIVE: Targeting METTL3 has opened a new window in the development of novel inhibitors/drugs. METHODS: In this study, commercially available natural compounds were randomly screened to avoid the bias of screening small molecules on the basis of structural similarity. From 810 compounds that were screened, 80 commercially available compounds were showing better score when compared with the existing substrate/substrate-analogue and the inhibitor bound crystal structures in terms of docking score and binding energy calculation. RESULTS AND CONCLUSION: Among this pool of compounds, the best seven small molecules have been selected and further validated by different computational tools like binding energy calculation, molecular dynamics simulation, ADME analysis, and toxicity prediction. The novel hits found in this study can function as lead compounds which can be developed into inhibitors as well as drugs, specific against METTL3.