Journal: Frontiers in Oncology

Article Title: Putative Repurposing of Lamivudine, a Nucleoside/Nucleotide Analogue and Antiretroviral to Improve the Outcome of Cancer and COVID-19 Patients

doi: 10.3389/fonc.2021.664794

Figure Lengend Snippet: Docking of Lamivudine into the catalytic domain of the first structural model of SARS-CoV-RdRp. Two Lamivudine clusters (sticks) are bound to the catalytic site. The surface of the Chain A of the SARS-CoV-RdRp (PDB_id IO5S.pdb) is shown, with oxygen in red, nitrogen in blue, and aliphatic atoms in beige. Some conserved catalytic residues are depicted in purple. Both Lamivudine clusters are on close proximity to the catalytic residues in a position suitable for productive inhibition of RNA polymerization. The binding energy (ΔG°) is −9.05 kcal/mol for the more enriched 3-TC cluster (see Table 1 ). A more recent structure was used to improve the quality of this first docking analysis. Docking was carried out as described in the text, see anti-COVID-19 repurposing for details.

Article Snippet: We assessed the re-usage of Lamivudine against COVID-19 in silico by docking Lamivudine into the cryo-EM structures of the SARS-CoV-2-RdRp catalytic chain.

Techniques: Inhibition, Binding Assay

Journal: Journal of neural engineering

Article Title: A retrospective evaluation of automated optimization of deep brain stimulation parameters

doi: 10.1088/1741-2552/ab35b1

Figure Lengend Snippet: 2.7. Empirical determination of the sensitivity threshold α

Article Snippet: Furthermore, given that recent simulation studies have demonstrated the possible benefit of anodic stimulation ( Anderson, Duffley, Vorwerk, Dorval and Butson; 2019 ), the optimization algorithm should also be evaluated without being restricted to cathodic stimulation in both computational and patient studies.

Techniques:

Journal: Journal of neural engineering

Article Title: A retrospective evaluation of automated optimization of deep brain stimulation parameters

doi: 10.1088/1741-2552/ab35b1

Figure Lengend Snippet: a) Target activation, measured in % of ΩVIM for which ap is above the sensitivity α, for the result of the optimization algorithm (purple) and clinically chosen stimulation setting (orange). b) Predicted power consumption for the result of the optimization algorithm and clinically chosen setting.

Article Snippet: Furthermore, given that recent simulation studies have demonstrated the possible benefit of anodic stimulation ( Anderson, Duffley, Vorwerk, Dorval and Butson; 2019 ), the optimization algorithm should also be evaluated without being restricted to cathodic stimulation in both computational and patient studies.

Techniques: Activation Assay

Journal: Journal of neural engineering

Article Title: A retrospective evaluation of automated optimization of deep brain stimulation parameters

doi: 10.1088/1741-2552/ab35b1

Figure Lengend Snippet: Change in predicted target activation and predicted power consumption for optimized stimulation settings in comparison to monopolar stimulation with the best therapeutic effect.

Article Snippet: Furthermore, given that recent simulation studies have demonstrated the possible benefit of anodic stimulation ( Anderson, Duffley, Vorwerk, Dorval and Butson; 2019 ), the optimization algorithm should also be evaluated without being restricted to cathodic stimulation in both computational and patient studies.

Techniques: Activation Assay, Comparison

Journal: Journal of neural engineering

Article Title: A retrospective evaluation of automated optimization of deep brain stimulation parameters

doi: 10.1088/1741-2552/ab35b1

Figure Lengend Snippet: P1R - Visualization of VIM (green), ap and af mapped on Vc and IC (left colorbar in mV/mm2) and stimulation voltage mapped on lead contacts (right colorbar in V), respectively, for a) optimization result and b) monopolar stimulation with 2.5 V at C3.

Article Snippet: Furthermore, given that recent simulation studies have demonstrated the possible benefit of anodic stimulation ( Anderson, Duffley, Vorwerk, Dorval and Butson; 2019 ), the optimization algorithm should also be evaluated without being restricted to cathodic stimulation in both computational and patient studies.

Techniques: