Computer simulation techniques are gaining a central role in molecular pharmacology. Due to several factors, including the significant improvements of traditional molecular modelling, the irruption of machine learning methods, the massive data generation, or the unlimited computational resources through cloud computing, the future of pharmacology seems to go hand in hand with in silico predictions. In this review, we summarize our recent efforts in such a direction, centered on the unconventional Monte Carlo PELE software and on its coupling with machine learning techniques. We also provide new data on combining two recent new techniques, aquaPELE capable of exhaustive water sampling and fragPELE, for fragment growing
Drug discovery is no longer relying on the one gene-one disease paradigm nor on target-based screeni...
Computational studies play an increasingly important role in chemistry and biophysics, mainly thanks...
Computational studies play an increasingly important role in chemistry and biophysics, mainly thanks...
Computer simulation techniques are gaining a central role in molecular pharmacology. Due to several ...
This chapter summarizes the most representative software packages that readily allow running Monte C...
[eng] The incremental application of supercomputers to offer solutions to complex problems has motiv...
This chapter summarizes the most representative software packages that readily allow running Monte C...
This chapter summarizes the most representative software packages that readily allow running Monte C...
Biomolecular simulations have been widely used in the study of protein-ligand interactions; comprehe...
Computer-Aided Drug Discovery (CADD) is a fast-evolving, interdisciplinary field that incorporates d...
Drug discovery aims at finding new compounds with specific chemical properties for the treatment of ...
The pharmaceutical industry is actively looking for new ways of boosting the efficiency and effectiv...
In this thesis we apply molecular dynamics (MD) simulations and other in silico techniques in drug d...
In this thesis we apply molecular dynamics (MD) simulations and other in silico techniques in drug d...
In this thesis we apply molecular dynamics (MD) simulations and other in silico techniques in drug d...
Drug discovery is no longer relying on the one gene-one disease paradigm nor on target-based screeni...
Computational studies play an increasingly important role in chemistry and biophysics, mainly thanks...
Computational studies play an increasingly important role in chemistry and biophysics, mainly thanks...
Computer simulation techniques are gaining a central role in molecular pharmacology. Due to several ...
This chapter summarizes the most representative software packages that readily allow running Monte C...
[eng] The incremental application of supercomputers to offer solutions to complex problems has motiv...
This chapter summarizes the most representative software packages that readily allow running Monte C...
This chapter summarizes the most representative software packages that readily allow running Monte C...
Biomolecular simulations have been widely used in the study of protein-ligand interactions; comprehe...
Computer-Aided Drug Discovery (CADD) is a fast-evolving, interdisciplinary field that incorporates d...
Drug discovery aims at finding new compounds with specific chemical properties for the treatment of ...
The pharmaceutical industry is actively looking for new ways of boosting the efficiency and effectiv...
In this thesis we apply molecular dynamics (MD) simulations and other in silico techniques in drug d...
In this thesis we apply molecular dynamics (MD) simulations and other in silico techniques in drug d...
In this thesis we apply molecular dynamics (MD) simulations and other in silico techniques in drug d...
Drug discovery is no longer relying on the one gene-one disease paradigm nor on target-based screeni...
Computational studies play an increasingly important role in chemistry and biophysics, mainly thanks...
Computational studies play an increasingly important role in chemistry and biophysics, mainly thanks...