Prediction models for the discovery of insect repellents that interfere with olfaction

Disease vector insects rely on chemosensors to locate hosts, find mates and choose where to lay their eggs. Currently, the most efficient method of preventing and controlling the outbreak of insect-borne diseases has been the use of insect repellents (IRs). However, they do not meet the necessary co...

• 第一著者: Pulgar Sánchez, Mary Estefanía (author)
• フォーマット: bachelorThesis
• 言語: eng
• 出版事項: 2021
• 主題: Repelente de insectos; Proteína de unión a odorantes; Software SiliS-PAPACS; Índices algebraicos 0-3D; Aprendizaje automático; Insect repellent; Odorant binding protein; Machine learning; Docking; Atom- and Bond-based 0-3D algebraic indices
• オンライン･アクセス: http://repositorio.yachaytech.edu.ec/handle/123456789/343