{'fraction_non_alphanumeric': 0.020764119601328904, 'fraction_numerical': 0.0, 'mean_word_length': 5.211340206185567, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 1, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
KBbox: A Toolbox of Computational Methods for Studying the Kinetics of Molecular Binding

The last few years have seen an increasing recognition of the importance of understanding molecular binding kinetics. This has led to the development of myriad computational methods for studying the kinetics of binding processes, and predicting their associated rate constants, which show varying degrees of accuracy, and vary greatly in the computational resources required for their application. In order to help researchers decide which method might be suitable for their projects, we have developed KBbox, a web server that guides users in choosing what methods they should consider, based on the information they wish to obtain, the data they currently have available and the computational recourses they have access to. KBbox provides information on the toolbox of methods available, their associated software tools, an expanding list of curated examples of published applications, and tutorials explaining how to apply some of the methods. It has been designed to allow the easy addition of new methods, tools and examples as they are developed and published. KBbox is available at https://kbbox.h-its.org/.