{'fraction_non_alphanumeric': 0.010714285714285714, 'fraction_numerical': 0.0, 'mean_word_length': 5.303370786516854, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, '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}}
Multiple-sequence information provides protection against mis-specified potential energy functions in the lattice model of proteins

The neutral nets in the lattice models of proteins are composed of a group of similar sequences that encode for the same native structure. The maximal neutral nets in an HP and an AB lattice model are investigated by exhaustive enumeration in the conformation space. The result demonstrates that the performance of mis-specified potential functions can be improved significantly by averaging over sequences in the neutral nets.