As proteanas são os burros de carga das células do nosso corpo, desempenhando funa§aµes vitais sem as quais não podemos viver - desde ajudar a formar anticorpos atétransportar nutrientes.
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)
Esta representação mostra a transição conformacional simulada ECpH de um damero molecular CLC1-ec embutido em uma membrana, de sua conformação em pH4 (em amarelo) para aquela que adota em pH8 (em cinza). O valor manãdio da energia total de um sistema com vários locais de protonação dependentes do pH (k) e probabilidades de protonação contidas no conjunto λ (pH) écalculado a partir da trajeta³ria de simulação ECpH, conforme mostrado. Crédito: Ekaterina Kots, Weill Cornell Medical School
Uma equipe de pesquisadores do Departamento de Fisiologia e Biofasica da Weill Cornell Medical School desenvolveu uma nova técnica computacional para realizar simulações de dina¢mica molecular de proteanas na concentração especafica de aons de hidrogaªnio (pH) em que funcionam. Chamado de manãtodo Equilibrium Constant pH (ECpH), ele apresenta um avanço significativo na capacidade das simulações computacionais de representar com mais precisão a forma como as proteanas da membrana de uma canãlula humana se parecem e como funcionam nas diferentes condições encontradas na vida da canãlula.
Harel Weinstein, diretor do Instituto de Biomedicina Computacional da Weill Cornell Medicine, junto com os coautores Ekaterina Kots (que desenvolveu o manãtodo) e Derek M. Shore, revelou os detalhes do ECpH e expa´s os resultados de sua aplicação em um artigo publicado recentemente na revista Molecules . A equipe usou o supercomputador Summit no Oak Ridge Leadership Computing Facility (OLCF), um Office of Science User Facility do Departamento de Energia (DOE) dos EUA no Oak Ridge National Laboratory (ORNL), para testar o desempenho de seu ca³digo ECpH e realizar extensas simulações de produção.
"O fato de muitas proteanas funcionarem em uma variedade de naveis de pH de maneiras diferentes éum problema que amargura a vida dos bia³logos hámuito tempo. Qualquer pessoa interessada em entender as relações estrutura / função das proteanas sob várias condições de pH não poderia fazer nada a respeito porque nem a determinação da estrutura nem o ca¡lculo foram capazes de ajuda¡-los de maneira significativa ", disse Weinstein. "Agora, o que desenvolvemos éum novo manãtodo para realizar simulações de dina¢mica molecular de uma maneira que nos permite olhar para a proteana em toda a faixa de pH e prevermudanças conformacionais induzidas pelo pH ."
As proteanas são os burros de carga das células do nosso corpo, desempenhando funções vitais sem as quais não podemos viver - desde ajudar a formar anticorpos atétransportar nutrientes. O papel individual de cada proteana pode ser determinado estudando sua estrutura única. As proteanas que ficam nas membranas externas das células tem a tarefa de reconhecer asmudanças fora da canãlula, como a introdução de uma droga, e comunica¡-las internamente para que a canãlula possa responder.
Essas proteanas podem ficar alojadas nas membranas celulares porque sua camada externa éformada por aminoa¡cidos hidrofa³bicos. Intercaladas entre esses componentes hidrofa³bicos da proteana estãocargas positivas e negativas que desempenham um papel importante no reconhecimento de sinais externos e no rearranjo da molanãcula que lhe permite transmitir informações para a canãlula. No entanto, esses resíduos carregados são suscetíveis a alterações nos naveis de pH.
Diferentes naveis de pH - uma medida da acidez nos fluidos - dentro e ao redor das células desencadeiam diferentes ações das proteanas. Se o pH mudar, isso pode fazer com que alguns dos resíduos que estãocarregados negativamente se tornem neutros ao pegar um pra³ton. Essa mudança na distribuição de carga fara¡ com que a estrutura da proteana também mude. Essa mudança conformacional équase invariavelmente essencial para o funcionamento.
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"Na verdade, a natureza estãousando a mudança conformacional que ocorre em um pH alterado para ativar ou desativar molanãculas, e isso acontece tanto na função normal das proteanas quanto na doena§a. O controle do pH éuma forma importante que a natureza desenvolveu para controlar a atividade de suas proteanas ", disse Weinstein. "Agora, qual éo mecanismo de ativação pormudanças de pH? Isso foi difacil de estabelecer. Mas podemos agora porque, graças ao poder computacional dos recursos modernos de classe de liderana§a: ele descongela a proteana inteiramente. Podemos dizer o que acontece com o todo proteana sob as novas condições e qual éo mecanismo, seguindo-o do inicio ao fim. "
Weinstein e sua equipe também executaram o ECpH na Summit para verificar os resultados de outra nova técnica computacional desenvolvida por cientistas da Weill Cornell Medicine para análise de alta resolução de biomolanãculas: um novo manãtodo de medição com microscopia de força atômica chamada microscopia de força atômica de localização ou LAFM. As técnicas atuais de ponta para examinar o comportamento dina¢mico das biomoléculas enfrentam limitações devido a s suas abordagens esta¡ticas: a microscopia crioeletra´nica congela as moléculas para estudo, enquanto a cristalografia de raios X depende da capacidade de cristalizar as molanãculas, o que éum procedimento complicado para a maioria das biomolanãculas. LAFM, por outro lado, éuma visualização direta a temperatura ambiente da dina¢mica da molanãcula de membrana.
"Então, o que temos agora éuma técnica que - em tempo real, sem congelamento - nos permite olhar para a molanãcula como ela se comporta na membrana. Isso éum enorme avanço", disse Weinstein. "Como qualquer outra metodologia, ela tem suas limitações. A limitação éque essa técnica ébaseada em microscopia de força atômica e para proteanas de membrana ela reporta apenasmudanças detecta¡veis ​​acima dasuperfÍcie da membrana."
Embora a microscopia de força atômica padrãopossa esboa§ar detalhes de moléculas in situ usando uma "agulha" do tamanho de um a¡tomo, ela élimitada a proteanas que se projetam dasuperfÍcie da membrana celular. E como essas proteanas estãose movendo, as imagens AFM tendem a ficar borradas. Para combater esse efeito, o LAFM aplica algoritmos de localização a s flutuações espaciais de recursos para criar imagens de alta resolução. Ser capaz de obter asmudanças previstas na estrutura em vários valores de pH a partir de simulações ECpH ajudou a interpretar os resultados do LAFM no artigo da Nature .
Juntas, essas inovações produzem informações estruturais e dina¢micas que excedem as resoluções de imagem dos atuais manãtodos fisiola³gicos e computacionais de análise. Eles prometem trazer uma nova compreensão dos mecanismos moleculares.