Registos Bibliográficos associados ao registo de autoridade |
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Etiqueta de registo: 00000nam 2200025 450 001 1944941 003 http://id.bnportugal.gov.pt/bib/catbnp/1944941 100 ## $a20161019d2016 k y0pory01030103ba 101 0# $aeng$dpor 102 ## $aPT 105 ## $aa m 000yy 106 ## $ar 200 1# $aStudying the structural features of peptide dendrimers using a combined computational
and experimental approach$fLuís Carlos Santos Filipe$gsuperv. António M. Baptista, Tamis Darbre, Miguel Machuqueiro 210 #9 $aOeiras$c[s.n.],$d2016 215 ## $aXXIV, 211, [1] p.$cil.$d25 cm 328 #1 $aTese dout. Chemistry, Inst. de Tecnologia Química e Biológica António Xavier, Univ.
Nova de Lisboa, 2016 675 ## $a66.08(043)$vBN$zpor$31229236 675 ## $a539.22(043)$vBN$zpor$31375777 700 #1 $aFilipe,$bLuís Carlos Santos$31660320 702 #1 $aBatista,$bAntónio M.$4727$3246437 702 #1 $aDarbre,$bTamis$4727$31375192 702 #1 $aMachuqueiro,$bMiguel$4727$31660321 801 #0 $aPT$bBN$gRPC 966 ## $lBN$mFGMON$sS.A. 163353 V.$x1
Etiqueta de registo: 00254nam 2200025 450 001 2130935 003 http://id.bnportugal.gov.pt/bib/catbnp/2130935 100 ## $a20230510d2022 k y0pory01030103ba 101 0# $aeng$dpor 102 ## $aPT 105 ## $aa m 000yy 106 ## $ar 200 1# $aIn silico tumor-targeting technologies for the evasion of acidity-induced multidrug
resistance$fTomás Fernandes da Silva$gorient. Miguel Ângelo dos Santos Machuqueiro, Diogo Ruivo dos Santos Vila Viçosa 210 #9 $aLisboa$c[s.n.],$d2022 215 ## $a[2] f., XX, 185 p.$cil.$d30 cm$ecurriculum vitae (2 p.) 328 #1 $aTese dout. Bioquímica (Bioquímica Teórica), Univ. de Lisboa, 2022 675 ## $a577.112(043)$vBN$zpor$3324005 700 #1 $aSilva,$bTomás Fernandes da$31881240 702 #1 $aMachuqueiro,$bMiguel$4727$31660321 702 #1 $aVila Viçosa,$bDiogo Ruivo dos Santos,$f1987-$4727$31645096 801 #0 $aPT$bBN$gRPC 966 ## $lBN$mFGMON$sS.A. 185425 V.$x1 971 ## $cjbeatriz$d20230510 972 ## $e0$z0$d20230720$vmsebas 973 ## $cigoulao$d20230714
Etiqueta de registo: 00254nam 2200025 450 001 2145211 003 http://id.bnportugal.gov.pt/bib/catbnp/2145211 100 ## $a20230929d2022 k y0pory01030103ba 101 0# $aeng$apor 102 ## $aPT 105 ## $aa m 000yy 106 ## $ar 200 1# $a A new generation of user-friendly and machine learning-accelerated methods for protein
pKa calculations$fPedro de Brito Pires Santos Reis$gorient. Miguel Ângelo dos Santos Machuqueiro, Ruivo dos Santos Vila Viçosa, Walter
Rocchia 210 #9 $aLisboa$c[s.n.],$d2022 215 ## $aXXII, 177 p.$cil.$d30 cm$ecurriculum vitae ([4] f.) 328 #1 $aTese dout. Bioquímica (Biofísica Molecular), Fac. de Ciências, Univ. de Lisboa, 2022 675 ## $a577.112(043)$vBN$zpor$3324005 700 #1 $aReis,$bPedro de Brito Pires Santos,$f1994-$31894944 702 #1 $aMachuqueiro,$bMiguel$4727$31660321 702 #1 $aVila Viçosa,$bDiogo Ruivo dos Santos,$f1987-$4727$31645096 702 #1 $aRocchia,$bWalter$4727$31895707 801 #0 $aPT$bBN$gRPC 856 40 $2Cópia digital disponível no Repositório Universidade de Lisboa$uhttp://hdl.handle.net/10451/59848 966 ## $lBN$mFGMON$sS.A. 186440 V.$x1 971 ## $cjbeatriz$d20230929 972 ## $e0$z0$d20231024$viquintas 973 ## $cigoulao$d20231020
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