Arangasamy Yazhini

MAGmax improves genome recovery in metagenomic samples by merging and reassembling bins, producing higher-quality MAGs faster and with less memory than dRep.

The paper benchmarks deep learning metagenome binners on CAMI2 datasets, finding COMEBin and GenomeFace as top performers, with post-binning reassembly improving low coverage bins.

The paper evaluates two methods for identifying interface residues in protein-protein complexes and shows they identify different residues with distinct properties and roles.

The paper analyzes the structural and energetic effects of the D614G substitution in SARS-CoV-2 spike protein, finding it enhances thermodynamic stability and may increase infectivity.