Разработка алгоритмов протеогеномного профилирования микроорганизмов

Выводы.

1) Эффективные алгоритмы. использующие данные протеомных экспериментов для протеогеномного профилирования, были разработаны.

2) С использованием алгоритмов были улучшены аннотации геномов Mycoplasma gallisepticum, Acholeplasma laidlawii, Spiroplasma melliferum и.

Desulfurococcus kamchatkensis.

3) Алгоритмы были использованы для протеогеномного профилирования изолятов и штаммов, для которых геномы не секвенированы или существует только частичная последовательность, была разработана методика оценки достоверности такого профилирования.

4) Алгоритмы позволяют произвести системный анализ и улучшить протеогеномную аннотацию на основе сравнения протеогеномных профилей бактерий и получить биологически релевантные выводы.

4.5 Заключение.

В ходе выполнения работы нам удалось улучшить практику применения стандартных процедур при белковой идентификации и аннотации. Разработанные методические подходы, воплощенные в виде программных алгоритмов, позволяют работать не только в узком спектре решенных задач, но и использовать их на передовом крае экспериментальной молекулярной биологии, постоянно встречающейся со сложностями, вызванными лавинообразным ростом информации. Проведенный анализ наборов микробов, основанный на синтезе полученной экспериментально информации, позволил получить не только новые гипотезы по механизмам действия отдельных бактерий, но и высказать предположения о всеобъемлющих принципах устройства живых клеток. Кроме того, на основе тех же данных был предложен новый методический подход. Таким образом, в работе было наглядно продемонстрировано свойство эмерджентности, характерное для системных подходов, когда получающийся результат представляет большее чем сумма отдельных компонентов, и удается найти такие знания, которые не были бы доступны без обобщения. Поставленные задачи выполнены в полном объеме.

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