Biomolecules: Insights from Single Molecule, Single Cell, and Systems Biology Perspectives
A special issue of Biomolecules (ISSN 2218-273X).
Deadline for manuscript submissions: closed (30 October 2018) | Viewed by 37647
Special Issue Editors
Interests: cancer systems biology; evolution; non-genetic mechanisms; intrinsically disordered proteins
Special Issues, Collections and Topics in MDPI journals
Interests: intrinsically disordered proteins; protein folding; protein misfolding; partially folded proteins; protein aggregation; protein structure; protein function; protein stability; protein biophysics; protein bioinformatics; conformational diseases; protein–ligand interactions; protein–protein interactions; liquid-liquid phase transitions
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Powerful methods to study biomolecules, both qualitatively and quantitatively, are abundant. However, it is now evident that analyzing data derived by averaging signals from many molecules or cells may not yield the whole picture, because the molecules/cells of interest may be in the minority, and, therefore, their behavior may be masked by the majority, or because the dynamics of the populations of the molecules/cells of interest are changing in time. However, advances in technology allow for the manipulation and measurement of single biomolecules in vitro and in vivo, within a live cell, as well as following the dynamic events within the same cell or biomolecule over time. Therefore, these exciting approaches offer powerful new ways to elucidate biological function, both in terms of revealing mechanisms of action on a molecular level, as well as tracking the behaviour of molecules in living cells or for that matter of individual cells in a population.
In contrast to the single molecule approach, systems biology is the study of biological systems which are nonlinear systems; their behavior cannot be reduced to the linear sum of functions of their parts. Although systems biology does not necessarily involve large numbers of components or big data, it requires quantitative modelling methods from physics. This approach has unequivocally demonstrated that, a single cell is inherently ‘noisy’. Such biological ‘noise’ stems from the heterogeneity of the responses of individual cells in an isogenic population and plays an important role in governing the state of the cell over time. Therefore, the states of two seemingly identical cells may be different in the same environment and the behavior of the population average may not correspond to any of the individual cells. These developments represent completely new ideas and concepts that were foreign to most biologists just a few years ago. This Special Issue provides a comprehensive view of these new ideas and developments underscoring the need to embrace this new, more quantitative, thinking to fully appreciate how biomolecules work.
Dr. Prakash Kulkarni
Assoc. Prof. Dr. Vladimir N. Uversky
Guest Editors
Manuscript Submission Information
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