Improvement of the Force Field for ß-d-Glucose with Machine Learning.

While the construction of a dependable force field for performing classical molecular dynamics (MD) simulation is crucial for elucidating the structure and function of biomolecular systems, the attempts to do this for glycans are relatively sparse compared to those for proteins and nucleic acids. Currently, the use of GLYCAM06 force field is the most popular, but there have been a number of concerns about its accuracy in the systematic description of structural changes. In the present work, we focus on the improvement of the GLYCAM06 force field for ß-d-glucose, a simple and the most abundant monosaccharide molecule, with the aid of machine learning techniques implemented with the TensorFlow library. Following the pre-sampling over a wide range of configuration space generated by MD simulation, the atomic charge and dihedral angle parameters in the GLYCAM06 force field were re-optimized to accurately reproduce the relative energies of ß-d-glucose obtained by the density functional theory (DFT) calculations according to the structural changes. The validation for the newly proposed force-field parameters was then carried out by verifying that the relative energy errors compared to the DFT value were significantly reduced and that some inconsistencies with experimental (e.g., NMR) results observed in the GLYCAM06 force field were resolved relevantly.

Relationship between ATM and ribosomal protein S6 revealed by the chemical inhibition of Ser/Thr protein phosphatase type 1.

The optimal cellular responses to DNA damage are modulated by kinase and phosphatase. The ataxia telangiectasia mutated (ATM) is a Ser/Thr kinase which is the core of the DNA damage signaling apparatus. The Ser/Thr protein phosphatase type 1 (PP1) inhibitor, tautomycetin (TC) and an antibody to the phospho-(S/T)Q sites of the ATM substrate were used to identify the common substrates for PP1 and ATM in regulating the pathway for DNA damage response. Ribosomal protein S6 (RPS6) was first identified as a substrate for PP1 and ATM. The phosphorylation at Ser247 of RPS6 was then significantly decreased by PP1-mediated dephosphorylation immediately after UV irradiation. These results suggest that PP1 specifically dephosphorylated RPS6 at phospho-Ser247 in vivo. In response to DNA damage, ATM activity was finally required for the phosphorylation of RPS6 at Ser247. We propose from these results a novel mechanism for modulating the RPS6 function by PP1 and ATM which regulates cell growth and survival in response to DNA-damage stimuli.