Comput Biol Chem - Parameter sensitivity analysis of stochastic models: application to catalytic reaction networks.

Tópicos

{ model(3480) simul(1196) paramet(876) }
{ take(945) account(800) differ(722) }
{ network(2748) neural(1063) input(814) }
{ method(1557) propos(1049) approach(1037) }
{ data(1714) softwar(1251) tool(1186) }
{ signal(2180) analysi(812) frequenc(800) }
{ data(1737) use(1416) pattern(1282) }
{ concept(1167) ontolog(924) domain(897) }
{ clinic(1479) use(1117) guidelin(835) }
{ algorithm(1844) comput(1787) effici(935) }
{ control(1307) perform(991) simul(935) }
{ model(2220) cell(1177) simul(1124) }
{ general(901) number(790) one(736) }
{ featur(1941) imag(1645) propos(1176) }
{ model(2341) predict(2261) use(1141) }
{ compound(1573) activ(1297) structur(1058) }
{ studi(1119) effect(1106) posit(819) }
{ time(1939) patient(1703) rate(768) }
{ drug(1928) target(777) effect(648) }
{ result(1111) use(1088) new(759) }
{ detect(2391) sensit(1101) algorithm(908) }
{ system(1976) rule(880) can(841) }
{ imag(1057) registr(996) error(939) }
{ featur(3375) classif(2383) classifi(1994) }
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{ surgeri(1148) surgic(1085) robot(1054) }
{ error(1145) method(1030) estim(1020) }
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{ group(2977) signific(1463) compar(1072) }
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{ gene(2352) biolog(1181) express(1162) }
{ data(3008) multipl(1320) sourc(1022) }
{ intervent(3218) particip(2042) group(1664) }
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{ survey(1388) particip(1329) question(1065) }
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{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
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{ method(1969) cluster(1462) data(1082) }
{ method(2212) result(1239) propos(1039) }

Resumo

A general numerical methodology for parametric sensitivity analysis is proposed, which allows to determine the parameters exerting the greatest influence on the output of a stochastic computational model, especially when the knowledge about the actual value of a parameter is insufficient. An application of the procedure is performed on a model of protocell, in order to detect the kinetic rates mainly affecting the capability of a catalytic reaction network enclosed in a semi-permeable membrane to retain material from its environment and to generate a variety of molecular species within its boundaries. It is shown that the former capability is scarcely sensitive to variations in the model parameters, whereas a kinetic rate responsible for profound modifications of the latter can be identified and it depends on the specific reaction network. A faster uptaking of limited resources from the environment may have represented a significant advantage from an evolutionary point of view and this result is a first indication in order to decipher which kind of structures are more suitable to achieve a viable evolution.

Resumo Limpo

general numer methodolog parametr sensit analysi propos allow determin paramet exert greatest influenc output stochast comput model especi knowledg actual valu paramet insuffici applic procedur perform model protocel order detect kinet rate main affect capabl catalyt reaction network enclos semiperm membran retain materi environ generat varieti molecular speci within boundari shown former capabl scarc sensit variat model paramet wherea kinet rate respons profound modif latter can identifi depend specif reaction network faster uptak limit resourc environ may repres signific advantag evolutionari point view result first indic order deciph kind structur suitabl achiev viabl evolut

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