Titlebook: Data Mining Techniques for the Life Sciences; Oliviero Carugo,Frank Eisenhaber Book 2022Latest edition The Editor(s) (if applicable) and T

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Christian Zinke-Wehlmann,Julia Friedrichdiction upon variations, we now realize that all the approaches are poorly performing when tested on specific cases and that there is large space for improvement. Why this is so? Is it wrong the underlying assumption that experimental protein thermodynamics in solution reflects the thermodynamics of

deficiency

Lignans

W. Mulder,P. H. H. Rongen,G. R. Meijering aggregation or order-disorder conformational transitions. Surprisingly, bioinformatic platforms often disregard the protein context in their modeling. In a recent work, we proposed that modeling how pH affects protein net charge and hydrophobicity might allow us to forecast pH-dependent aggregat

Psa617

Felipe Bittencourt,Ricardo J. Rabelo results similar to those produced by principal components analysis of a molecular dynamics simulation, but with only a fraction of the computational effort. Here, we provide a brief overview of the theory and describe three methods for carrying out NMA, including the use of one of the on-line servi

Nutrient

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Bart Bogaard,Baris Ozkan,Sybren de Kinderenal organization is in action for gene expression, tissue and organ architectures, and ecological systems..The still more common approach to such state of affairs is to think that causally relevant events originate from the lower level in the form of perturbations, that climb up the hierarchy reachin

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https://doi.org/10.1007/978-3-031-42622-3ies in biological macromolecules. In this chapter, the most recent studies and applications of B-factors in protein engineering and structural biology are briefly summarized. Particular emphasis is given to the limitations in using B-factors, in order to prevent inappropriate applications. It is eve

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