Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Drug and vaccination therapies are important tools in the battle against infectious diseases such as HIV and influenza. Hover, many viruses, including HIV, can rapidly escape the therapeutic effect through a sequence of mutations.  propose to design vaccines, or, equivalently, antibody sequences that make such evasion difficult.  frame this as a bilevel combinatorial optimization problem of maximizing the escape cost, defined as the minimum number of virus mutations to evade binding an antibody. Binding strength can be evaluated by a protein modeling software, Rosetta, that serves as an oracle and computes a binding score for an input virus-antibody pair. Hover, score calculation for each possible such pair is intractable.  propose a three-pronged approach to address this: first, application of local search, using a native antibody sequence as leverage, second, machine learning to predict binding for antibody-virus pairs, and third, a poisson regression to predict escape costs as a function of antibody sequence assignment.  demonstrate the effectiveness of the proposed methods, and exhibit an antibody with a far higher escape cost (7) than the native (1).
['Swetasudha Panda', 'Yevgeniy Vorobeychik']
I am writing a research paper on a idea Stackelberg Games for Robust Vaccine Design
[{"from": "human", "value": "I am writing a research paper on a idea Stackelberg Games for Robust Vaccine Design"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Drug and vaccination therapies are important tools in the battle against infectious diseases such as HIV and influenza. Hover, many viruses, including HIV, can rapidly escape the therapeutic effect through a sequence of mutations.  propose to design vaccines, or, equivalently, antibody sequences that make such evasion difficult.  frame this as a bilevel combinatorial optimization problem of maximizing the escape cost, defined as the minimum number of virus mutations to evade binding an antibody. Binding strength can be evaluated by a protein modeling software, Rosetta, that serves as an oracle and computes a binding score for an input virus-antibody pair. Hover, score calculation for each possible such pair is intractable.  propose a three-pronged approach to address this: first, application of local search, using a native antibody sequence as leverage, second, machine learning to predict binding for antibody-virus pairs, and third, a poisson regression to predict escape costs as a function of antibody sequence assignment.  demonstrate the effectiveness of the proposed methods, and exhibit an antibody with a far higher escape cost (7) than the native (1)."}]