text: 365,24,1177382708164644866,907621053547126785,Pratyush Tiwary,"Preprint of new review just submitted to Current Opinion in Structural Biology. Not the easiest review to write given word limits & a field changing so rapidly. Please let us know if we missed something crucial you did so mayb we can update actual paper <LINK> @MicheleCeriotti @JimPfaendtner Thanks, this is exactly why we put this up as a preprint @olexandr awwwwww. but look @olexandr how could I have forgotten you and @adrian_roitberg ? <LINK>",https://arxiv.org/abs/1909.11748,"Molecular dynamics (MD) has become a powerful tool for studying biophysical systems, due to increasing computational power and availability of software. Although MD has made many contributions to better understanding these complex biophysical systems, there remain methodological difficulties to be surmounted. First, how to make the deluge of data generated in running even a microsecond long MD simulation human comprehensible. Second, how to efficiently sample the underlying free energy surface and kinetics. In this short perspective, we summarize machine learning based ideas that are solving both of these limitations, with a focus on their key theoretical underpinnings and remaining challenges. ","Machine learning approaches for analyzing and enhancing molecular