Wiley Interdiscip Rev Syst Biol Med - Systems vaccinology: learning to compute the behavior of vaccine induced immunity.

Tópicos

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{ howev(809) still(633) remain(590) }
{ research(1085) discuss(1038) issu(1018) }
{ record(1888) medic(1808) patient(1693) }
{ bind(1733) structur(1185) ligand(1036) }
{ model(2341) predict(2261) use(1141) }
{ activ(1138) subject(705) human(624) }
{ algorithm(1844) comput(1787) effici(935) }
{ blood(1257) pressur(1144) flow(957) }
{ health(3367) inform(1360) care(1135) }
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{ data(3008) multipl(1320) sourc(1022) }
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{ framework(1458) process(801) describ(734) }
{ data(1714) softwar(1251) tool(1186) }
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{ featur(1941) imag(1645) propos(1176) }
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{ data(3963) clinic(1234) research(1004) }
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{ perform(1367) use(1326) method(1137) }
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{ monitor(1329) mobil(1314) devic(1160) }
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{ state(1844) use(1261) util(961) }
{ patient(2837) hospit(1953) medic(668) }
{ model(2656) set(1616) predict(1553) }
{ age(1611) year(1155) adult(843) }
{ signal(2180) analysi(812) frequenc(800) }
{ cost(1906) reduc(1198) effect(832) }
{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ time(1939) patient(1703) rate(768) }
{ can(981) present(881) function(850) }
{ analysi(2126) use(1163) compon(1037) }
{ health(1844) social(1437) communiti(874) }
{ structur(1116) can(940) graph(676) }
{ high(1669) rate(1365) level(1280) }
{ use(976) code(926) identifi(902) }
{ use(1733) differ(960) four(931) }
{ drug(1928) target(777) effect(648) }
{ result(1111) use(1088) new(759) }
{ implement(1333) system(1263) develop(1122) }
{ estim(2440) model(1874) function(577) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ activ(1452) weight(1219) physic(1104) }
{ method(1969) cluster(1462) data(1082) }
{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

The goal of systems biology is to access and integrate information about the parts (e.g., genes, proteins, cells) of a biological system with a view to computing and predicting the behavior of the system. The past decade has witnessed technological revolutions in the capacity to make high throughput measurements about the behavior of genes, proteins, and cells. Such technologies are widely used in biological research and in medicine, such as toward prognosis and therapy response prediction in cancer patients. More recently, systems biology is being applied to vaccinology, with the goal of: (1) understanding the mechanisms by which vaccines stimulate protective immunity, and (2) predicting the immunogenicity or efficacy of vaccines. Here, we review the recent advances in this area, and highlight the biological and computational challenges posed.

Resumo Limpo

goal system biolog access integr inform part eg gene protein cell biolog system view comput predict behavior system past decad wit technolog revolut capac make high throughput measur behavior gene protein cell technolog wide use biolog research medicin toward prognosi therapi respons predict cancer patient recent system biolog appli vaccinolog goal understand mechan vaccin stimul protect immun predict immunogen efficaci vaccin review recent advanc area highlight biolog comput challeng pose

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