Hierarchical design of hyaluronic acid-peptide constructs for glioblastoma targeting: Combining insights from NMR and molecular dynamics simulations

The main bottleneck of glioblastoma still relies on the existence of the blood brain-blood brain tumor dual barrier, along with the lack of therapy specificity. The present work deals with the question of whether (and how) different targeting hyaluronic acid (HA)-peptide [c(RGDfK) and/or H7K(R2)2] m...
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Autor*in:	Mendes, Maria [verfasserIn] Cova, Tânia [verfasserIn] Basso, João [verfasserIn] Ramos, M. Luísa [verfasserIn] Vitorino, Rui [verfasserIn] Sousa, João [verfasserIn] Pais, Alberto [verfasserIn] Vitorino, Carla [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Hyaluronic acid C(RGDfK H Polymer-peptide conjugates Glioblastoma

Übergeordnetes Werk:	Enthalten in: Journal of molecular liquids - New York, NY [u.a.] : Elsevier, 1983, 315
Übergeordnetes Werk:	volume:315

DOI / URN:	10.1016/j.molliq.2020.113774

Katalog-ID:	ELV004717872

Internformat


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520			\|a The main bottleneck of glioblastoma still relies on the existence of the blood brain-blood brain tumor dual barrier, along with the lack of therapy specificity. The present work deals with the question of whether (and how) different targeting hyaluronic acid (HA)-peptide [c(RGDfK) and/or H7K(R2)2] moieties hierarchically interact with each other, to ensure a unique entity with specificity to glioblastoma. A dual experimental-computational approach, encompassing nuclear magnetic resonance and molecular dynamics simulations is enclosed. Relevant contact patterns based on the identification of the stabilizing/destabilizing noncovalent interactions within the constructs are detailed. The synthesis pathway requires the HA-c(RGDfK)-H7k(R2)2 association hierarchy, stemming from the size and amino acid residue rearrangement, in the 1:1 M ratio, to obtain a stable conjugate ultimately able to interact with the tumor cell membrane. To our knowledge, the structural and mechanistic rationale for the formation of hybrid polymer-peptide constructs, including HA-c(RGDfK)-H7k(R2)2, for glioblastoma has not been addressed so far.
650		4	\|a Hyaluronic acid
650		4	\|a C(RGDfK
650		4	\|a H
650		4	\|a Polymer-peptide conjugates
650		4	\|a Glioblastoma
700	1		\|a Cova, Tânia \|e verfasserin \|4 aut
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700	1		\|a Ramos, M. Luísa \|e verfasserin \|4 aut
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700	1		\|a Sousa, João \|e verfasserin \|4 aut
700	1		\|a Pais, Alberto \|e verfasserin \|4 aut
700	1		\|a Vitorino, Carla \|e verfasserin \|4 aut
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912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_90
912			\|a GBV_ILN_95
912			\|a GBV_ILN_100
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912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
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912			\|a GBV_ILN_151
912			\|a GBV_ILN_224
912			\|a GBV_ILN_370
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912			\|a GBV_ILN_602
912			\|a GBV_ILN_702
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912			\|a GBV_ILN_2004
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2011
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2038
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2056
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2065
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2113
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912			\|a GBV_ILN_2122
912			\|a GBV_ILN_2129
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912			\|a GBV_ILN_2148
912			\|a GBV_ILN_2152
912			\|a GBV_ILN_2153
912			\|a GBV_ILN_2190
912			\|a GBV_ILN_2336
912			\|a GBV_ILN_2507
912			\|a GBV_ILN_2522
912			\|a GBV_ILN_2807
912			\|a GBV_ILN_4035
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4242
912			\|a GBV_ILN_4251
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4333
912			\|a GBV_ILN_4334
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4393
936	b	k	\|a 35.21 \|j Lösungen \|j Flüssigkeiten \|x Physikalische Chemie
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Indexfelder

author_variant	m m mm t c tc j b jb m l r ml mlr r v rv j s js a p ap c v cv
matchkey_str	article:18733166:2020----::irrhcleinfylrnccdetdcntutfrlolsoaagtncmiignihsrm
hierarchy_sort_str	2020
bklnumber	35.21
publishDate	2020
allfields	10.1016/j.molliq.2020.113774 doi (DE-627)ELV004717872 (ELSEVIER)S0167-7322(20)32331-X DE-627 ger DE-627 rda eng 540 DE-600 35.21 bkl Mendes, Maria verfasserin aut Hierarchical design of hyaluronic acid-peptide constructs for glioblastoma targeting: Combining insights from NMR and molecular dynamics simulations 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The main bottleneck of glioblastoma still relies on the existence of the blood brain-blood brain tumor dual barrier, along with the lack of therapy specificity. The present work deals with the question of whether (and how) different targeting hyaluronic acid (HA)-peptide [c(RGDfK) and/or H7K(R2)2] moieties hierarchically interact with each other, to ensure a unique entity with specificity to glioblastoma. A dual experimental-computational approach, encompassing nuclear magnetic resonance and molecular dynamics simulations is enclosed. Relevant contact patterns based on the identification of the stabilizing/destabilizing noncovalent interactions within the constructs are detailed. The synthesis pathway requires the HA-c(RGDfK)-H7k(R2)2 association hierarchy, stemming from the size and amino acid residue rearrangement, in the 1:1 M ratio, to obtain a stable conjugate ultimately able to interact with the tumor cell membrane. To our knowledge, the structural and mechanistic rationale for the formation of hybrid polymer-peptide constructs, including HA-c(RGDfK)-H7k(R2)2, for glioblastoma has not been addressed so far. Hyaluronic acid C(RGDfK H Polymer-peptide conjugates Glioblastoma Cova, Tânia verfasserin aut Basso, João verfasserin aut Ramos, M. Luísa verfasserin aut Vitorino, Rui verfasserin aut Sousa, João verfasserin aut Pais, Alberto verfasserin aut Vitorino, Carla verfasserin aut Enthalten in Journal of molecular liquids New York, NY [u.a.] : Elsevier, 1983 315 Online-Ressource (DE-627)302469664 (DE-600)1491496-7 (DE-576)259483915 1873-3166 nnns volume:315 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2807 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 35.21 Lösungen Flüssigkeiten Physikalische Chemie AR 315
spelling	10.1016/j.molliq.2020.113774 doi (DE-627)ELV004717872 (ELSEVIER)S0167-7322(20)32331-X DE-627 ger DE-627 rda eng 540 DE-600 35.21 bkl Mendes, Maria verfasserin aut Hierarchical design of hyaluronic acid-peptide constructs for glioblastoma targeting: Combining insights from NMR and molecular dynamics simulations 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The main bottleneck of glioblastoma still relies on the existence of the blood brain-blood brain tumor dual barrier, along with the lack of therapy specificity. The present work deals with the question of whether (and how) different targeting hyaluronic acid (HA)-peptide [c(RGDfK) and/or H7K(R2)2] moieties hierarchically interact with each other, to ensure a unique entity with specificity to glioblastoma. A dual experimental-computational approach, encompassing nuclear magnetic resonance and molecular dynamics simulations is enclosed. Relevant contact patterns based on the identification of the stabilizing/destabilizing noncovalent interactions within the constructs are detailed. The synthesis pathway requires the HA-c(RGDfK)-H7k(R2)2 association hierarchy, stemming from the size and amino acid residue rearrangement, in the 1:1 M ratio, to obtain a stable conjugate ultimately able to interact with the tumor cell membrane. To our knowledge, the structural and mechanistic rationale for the formation of hybrid polymer-peptide constructs, including HA-c(RGDfK)-H7k(R2)2, for glioblastoma has not been addressed so far. Hyaluronic acid C(RGDfK H Polymer-peptide conjugates Glioblastoma Cova, Tânia verfasserin aut Basso, João verfasserin aut Ramos, M. Luísa verfasserin aut Vitorino, Rui verfasserin aut Sousa, João verfasserin aut Pais, Alberto verfasserin aut Vitorino, Carla verfasserin aut Enthalten in Journal of molecular liquids New York, NY [u.a.] : Elsevier, 1983 315 Online-Ressource (DE-627)302469664 (DE-600)1491496-7 (DE-576)259483915 1873-3166 nnns volume:315 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2807 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 35.21 Lösungen Flüssigkeiten Physikalische Chemie AR 315
allfields_unstemmed	10.1016/j.molliq.2020.113774 doi (DE-627)ELV004717872 (ELSEVIER)S0167-7322(20)32331-X DE-627 ger DE-627 rda eng 540 DE-600 35.21 bkl Mendes, Maria verfasserin aut Hierarchical design of hyaluronic acid-peptide constructs for glioblastoma targeting: Combining insights from NMR and molecular dynamics simulations 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The main bottleneck of glioblastoma still relies on the existence of the blood brain-blood brain tumor dual barrier, along with the lack of therapy specificity. The present work deals with the question of whether (and how) different targeting hyaluronic acid (HA)-peptide [c(RGDfK) and/or H7K(R2)2] moieties hierarchically interact with each other, to ensure a unique entity with specificity to glioblastoma. A dual experimental-computational approach, encompassing nuclear magnetic resonance and molecular dynamics simulations is enclosed. Relevant contact patterns based on the identification of the stabilizing/destabilizing noncovalent interactions within the constructs are detailed. The synthesis pathway requires the HA-c(RGDfK)-H7k(R2)2 association hierarchy, stemming from the size and amino acid residue rearrangement, in the 1:1 M ratio, to obtain a stable conjugate ultimately able to interact with the tumor cell membrane. To our knowledge, the structural and mechanistic rationale for the formation of hybrid polymer-peptide constructs, including HA-c(RGDfK)-H7k(R2)2, for glioblastoma has not been addressed so far. Hyaluronic acid C(RGDfK H Polymer-peptide conjugates Glioblastoma Cova, Tânia verfasserin aut Basso, João verfasserin aut Ramos, M. Luísa verfasserin aut Vitorino, Rui verfasserin aut Sousa, João verfasserin aut Pais, Alberto verfasserin aut Vitorino, Carla verfasserin aut Enthalten in Journal of molecular liquids New York, NY [u.a.] : Elsevier, 1983 315 Online-Ressource (DE-627)302469664 (DE-600)1491496-7 (DE-576)259483915 1873-3166 nnns volume:315 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2807 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 35.21 Lösungen Flüssigkeiten Physikalische Chemie AR 315
allfieldsGer	10.1016/j.molliq.2020.113774 doi (DE-627)ELV004717872 (ELSEVIER)S0167-7322(20)32331-X DE-627 ger DE-627 rda eng 540 DE-600 35.21 bkl Mendes, Maria verfasserin aut Hierarchical design of hyaluronic acid-peptide constructs for glioblastoma targeting: Combining insights from NMR and molecular dynamics simulations 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The main bottleneck of glioblastoma still relies on the existence of the blood brain-blood brain tumor dual barrier, along with the lack of therapy specificity. The present work deals with the question of whether (and how) different targeting hyaluronic acid (HA)-peptide [c(RGDfK) and/or H7K(R2)2] moieties hierarchically interact with each other, to ensure a unique entity with specificity to glioblastoma. A dual experimental-computational approach, encompassing nuclear magnetic resonance and molecular dynamics simulations is enclosed. Relevant contact patterns based on the identification of the stabilizing/destabilizing noncovalent interactions within the constructs are detailed. The synthesis pathway requires the HA-c(RGDfK)-H7k(R2)2 association hierarchy, stemming from the size and amino acid residue rearrangement, in the 1:1 M ratio, to obtain a stable conjugate ultimately able to interact with the tumor cell membrane. To our knowledge, the structural and mechanistic rationale for the formation of hybrid polymer-peptide constructs, including HA-c(RGDfK)-H7k(R2)2, for glioblastoma has not been addressed so far. Hyaluronic acid C(RGDfK H Polymer-peptide conjugates Glioblastoma Cova, Tânia verfasserin aut Basso, João verfasserin aut Ramos, M. Luísa verfasserin aut Vitorino, Rui verfasserin aut Sousa, João verfasserin aut Pais, Alberto verfasserin aut Vitorino, Carla verfasserin aut Enthalten in Journal of molecular liquids New York, NY [u.a.] : Elsevier, 1983 315 Online-Ressource (DE-627)302469664 (DE-600)1491496-7 (DE-576)259483915 1873-3166 nnns volume:315 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2807 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 35.21 Lösungen Flüssigkeiten Physikalische Chemie AR 315
allfieldsSound	10.1016/j.molliq.2020.113774 doi (DE-627)ELV004717872 (ELSEVIER)S0167-7322(20)32331-X DE-627 ger DE-627 rda eng 540 DE-600 35.21 bkl Mendes, Maria verfasserin aut Hierarchical design of hyaluronic acid-peptide constructs for glioblastoma targeting: Combining insights from NMR and molecular dynamics simulations 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The main bottleneck of glioblastoma still relies on the existence of the blood brain-blood brain tumor dual barrier, along with the lack of therapy specificity. The present work deals with the question of whether (and how) different targeting hyaluronic acid (HA)-peptide [c(RGDfK) and/or H7K(R2)2] moieties hierarchically interact with each other, to ensure a unique entity with specificity to glioblastoma. A dual experimental-computational approach, encompassing nuclear magnetic resonance and molecular dynamics simulations is enclosed. Relevant contact patterns based on the identification of the stabilizing/destabilizing noncovalent interactions within the constructs are detailed. The synthesis pathway requires the HA-c(RGDfK)-H7k(R2)2 association hierarchy, stemming from the size and amino acid residue rearrangement, in the 1:1 M ratio, to obtain a stable conjugate ultimately able to interact with the tumor cell membrane. To our knowledge, the structural and mechanistic rationale for the formation of hybrid polymer-peptide constructs, including HA-c(RGDfK)-H7k(R2)2, for glioblastoma has not been addressed so far. Hyaluronic acid C(RGDfK H Polymer-peptide conjugates Glioblastoma Cova, Tânia verfasserin aut Basso, João verfasserin aut Ramos, M. Luísa verfasserin aut Vitorino, Rui verfasserin aut Sousa, João verfasserin aut Pais, Alberto verfasserin aut Vitorino, Carla verfasserin aut Enthalten in Journal of molecular liquids New York, NY [u.a.] : Elsevier, 1983 315 Online-Ressource (DE-627)302469664 (DE-600)1491496-7 (DE-576)259483915 1873-3166 nnns volume:315 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2807 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 35.21 Lösungen Flüssigkeiten Physikalische Chemie AR 315
language	English
source	Enthalten in Journal of molecular liquids 315 volume:315
sourceStr	Enthalten in Journal of molecular liquids 315 volume:315
format_phy_str_mv	Article
bklname	Lösungen Flüssigkeiten
institution	findex.gbv.de
topic_facet	Hyaluronic acid C(RGDfK H Polymer-peptide conjugates Glioblastoma
dewey-raw	540
isfreeaccess_bool	false
container_title	Journal of molecular liquids
authorswithroles_txt_mv	Mendes, Maria @@aut@@ Cova, Tânia @@aut@@ Basso, João @@aut@@ Ramos, M. Luísa @@aut@@ Vitorino, Rui @@aut@@ Sousa, João @@aut@@ Pais, Alberto @@aut@@ Vitorino, Carla @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
hierarchy_top_id	302469664
dewey-sort	3540
id	ELV004717872
language_de	englisch
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author	Mendes, Maria
spellingShingle	Mendes, Maria ddc 540 bkl 35.21 misc Hyaluronic acid misc C(RGDfK misc H misc Polymer-peptide conjugates misc Glioblastoma Hierarchical design of hyaluronic acid-peptide constructs for glioblastoma targeting: Combining insights from NMR and molecular dynamics simulations
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topic_title	540 DE-600 35.21 bkl Hierarchical design of hyaluronic acid-peptide constructs for glioblastoma targeting: Combining insights from NMR and molecular dynamics simulations Hyaluronic acid C(RGDfK H Polymer-peptide conjugates Glioblastoma
topic	ddc 540 bkl 35.21 misc Hyaluronic acid misc C(RGDfK misc H misc Polymer-peptide conjugates misc Glioblastoma
topic_unstemmed	ddc 540 bkl 35.21 misc Hyaluronic acid misc C(RGDfK misc H misc Polymer-peptide conjugates misc Glioblastoma
topic_browse	ddc 540 bkl 35.21 misc Hyaluronic acid misc C(RGDfK misc H misc Polymer-peptide conjugates misc Glioblastoma
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title	Hierarchical design of hyaluronic acid-peptide constructs for glioblastoma targeting: Combining insights from NMR and molecular dynamics simulations
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title_full	Hierarchical design of hyaluronic acid-peptide constructs for glioblastoma targeting: Combining insights from NMR and molecular dynamics simulations
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title_sort	hierarchical design of hyaluronic acid-peptide constructs for glioblastoma targeting: combining insights from nmr and molecular dynamics simulations
title_auth	Hierarchical design of hyaluronic acid-peptide constructs for glioblastoma targeting: Combining insights from NMR and molecular dynamics simulations
abstract	The main bottleneck of glioblastoma still relies on the existence of the blood brain-blood brain tumor dual barrier, along with the lack of therapy specificity. The present work deals with the question of whether (and how) different targeting hyaluronic acid (HA)-peptide [c(RGDfK) and/or H7K(R2)2] moieties hierarchically interact with each other, to ensure a unique entity with specificity to glioblastoma. A dual experimental-computational approach, encompassing nuclear magnetic resonance and molecular dynamics simulations is enclosed. Relevant contact patterns based on the identification of the stabilizing/destabilizing noncovalent interactions within the constructs are detailed. The synthesis pathway requires the HA-c(RGDfK)-H7k(R2)2 association hierarchy, stemming from the size and amino acid residue rearrangement, in the 1:1 M ratio, to obtain a stable conjugate ultimately able to interact with the tumor cell membrane. To our knowledge, the structural and mechanistic rationale for the formation of hybrid polymer-peptide constructs, including HA-c(RGDfK)-H7k(R2)2, for glioblastoma has not been addressed so far.
abstractGer	The main bottleneck of glioblastoma still relies on the existence of the blood brain-blood brain tumor dual barrier, along with the lack of therapy specificity. The present work deals with the question of whether (and how) different targeting hyaluronic acid (HA)-peptide [c(RGDfK) and/or H7K(R2)2] moieties hierarchically interact with each other, to ensure a unique entity with specificity to glioblastoma. A dual experimental-computational approach, encompassing nuclear magnetic resonance and molecular dynamics simulations is enclosed. Relevant contact patterns based on the identification of the stabilizing/destabilizing noncovalent interactions within the constructs are detailed. The synthesis pathway requires the HA-c(RGDfK)-H7k(R2)2 association hierarchy, stemming from the size and amino acid residue rearrangement, in the 1:1 M ratio, to obtain a stable conjugate ultimately able to interact with the tumor cell membrane. To our knowledge, the structural and mechanistic rationale for the formation of hybrid polymer-peptide constructs, including HA-c(RGDfK)-H7k(R2)2, for glioblastoma has not been addressed so far.
abstract_unstemmed	The main bottleneck of glioblastoma still relies on the existence of the blood brain-blood brain tumor dual barrier, along with the lack of therapy specificity. The present work deals with the question of whether (and how) different targeting hyaluronic acid (HA)-peptide [c(RGDfK) and/or H7K(R2)2] moieties hierarchically interact with each other, to ensure a unique entity with specificity to glioblastoma. A dual experimental-computational approach, encompassing nuclear magnetic resonance and molecular dynamics simulations is enclosed. Relevant contact patterns based on the identification of the stabilizing/destabilizing noncovalent interactions within the constructs are detailed. The synthesis pathway requires the HA-c(RGDfK)-H7k(R2)2 association hierarchy, stemming from the size and amino acid residue rearrangement, in the 1:1 M ratio, to obtain a stable conjugate ultimately able to interact with the tumor cell membrane. To our knowledge, the structural and mechanistic rationale for the formation of hybrid polymer-peptide constructs, including HA-c(RGDfK)-H7k(R2)2, for glioblastoma has not been addressed so far.
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title_short	Hierarchical design of hyaluronic acid-peptide constructs for glioblastoma targeting: Combining insights from NMR and molecular dynamics simulations
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author2	Cova, Tânia Basso, João Ramos, M. Luísa Vitorino, Rui Sousa, João Pais, Alberto Vitorino, Carla
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up_date	2024-07-06T23:55:38.846Z
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Hierarchical design of hyaluronic acid-peptide constructs for glioblastoma targeting: Combining insights from NMR and molecular dynamics simulations

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