Rocco Meli

Conferences and Seminars

Posters

[5] J. Biddiscombe, A. Invernizzi, R. Meli, A. Reverdell, M. Simberg, and R. Solcà, The Task-Based GPU-Enabled Distributed Eigensolver available in DLA-Future

[4] R. Meli,A. Anighoro, M. Bodkin, G. M. Morris, P. C. Biggin, Learning Protein-Ligand Binding Affinity Using Atomic Environment Vectors

[3] R. Meli, J. Sunseri, P. C. Biggin, D. R. Koes, Deep Learning Scoring Function for Flexible Molecular Docking

[2] F. R. Manby, T. F. Miller III, F. A. Batista Romero, P. J. Bygrave, C. B. A. Bungey, L. D. Chen, F. Ding, T. Dresselhaus, K. Miyamoto, R. Meli, C. Steinmann, T. Tsuchiya, T. C. Wiles, entos

[1] E. Cuillery, J. Heng, V. Jacquot, P. Malsot, R. Meli, C. Pulver, A. Sarfatis, L. Steiner, V. Steininger, G. Thouvenin, A. Uran, N. Van Tiel, BioLogic: Logic Orthogonal gRNA-Implemented Circuits

Contributed Posters

[I] E. Liberatore, R. Meli, M. Bircher, N. Browning and U. Röthlisberger, Multiple Time Step Algorithms for Efficient Multiscale Molecular Dynamics Simulations in Ground and Excited States

Presentations

[4] Learning Protein-Ligand Binding Affinity with Atomic Environment Vectors, Koes Group Meeting, University of Pittsburgh (Online), 2021.

[3] Deep Learning Scoring Function for Flexible Molecular Docking, Structural Biology and Computational Biochemistry Seminar, University of Oxford (UK), 2019.

[2] Oxygen DX center in In0.17Al0.83N: Nonradiative recombination and persistent photoconductivity, Student Showcase Seminars (TMCS-CDT), University of Oxford (UK), 2017.

[1] BioLogic: Logic Orthogonal gRNA- Implemented Circuits, iGEM Giant Jamboree, Boston (USA), 2015.