title: Physical and Mathematical Modeling in Experimental Papers.
abstract: An increasing number of publications include modeling. Often, such studies help us to gain a deeper insight into the phenomena studied and break down barriers between experimental and theoretical communities. However, combining experimental and theoretical work is challenging for authors, reviewers, and readers. To help maximize the usefulness and impact of combined theoretical and experimental research, this Primer describes the purpose, usefulness, and different types of models and addresses the practical aspect of integrated publications by outlining characteristics of good modeling, presentation, and fruitful collaborations.
authors.affiliation: Department of Physics and FAS Center for Systems Biology, Harvard University, Cambridge, MA 02138, USA. Electronic address: wolfram.moebius@gmail.com.
authors.forename: Wolfram
authors.initials: W
authors.lastname: Möbius
authors.affiliation: Department of Bionanoscience, Kavli Institute of Nanoscience, Faculty of Applied Sciences, Delft University of Technology, 2628 CJ Delft, the Netherlands. Electronic address: l.laan@tudelft.nl.
authors.forename: Liedewij
authors.initials: L
authors.lastname: Laan
mesh_terms: D000818:Animals; D018407:Bacterial Physiological Phenomena; D002468:Cell Physiological Phenomena; D003198:Computer Simulation; D008954:Models, Biological; D008956:Models, Chemical; D011506:Proteins / Q000737:chemistry / Q000502:physiology
chemical_list: D011506:Proteins