Combined use of NMR and computational tools for fragment based drug discovery targeting protein-protein interactions VEGF protein surface recognition as a case study

The capacity of proteins to interact with each other rests at the core of biology. Given the ubiquitous nature of these interactions they have attracted the attention of scientists for the development of inhibitors or biochemical tools.The use of biologics to target protein-protein interfaces is rel...

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Detalles Bibliográficos
Autor: Goldflam, Michael
Tipo de recurso: tesis doctoral
Estado:Versión publicada
Fecha de publicación:2013
País:España
Institución:CBUC, CESCA
Repositorio:TDR. Tesis Doctorales en Red
OAI Identifier:oai:www.tdx.cat:10803/123711
Acceso en línea:http://hdl.handle.net/10803/123711
Access Level:acceso abierto
Palabra clave:Reconeixement molecular
Reconocimiento molecular
Molecular recognition
Ressonància magnètica nuclear
Resonancia magnètica nuclear (Física)
Nuclear magnetic resonance
Desenvolupament de medicaments
Desarrollo de los medicamentos
Drug development
Interacció proteïna-proteïna
Interacciones proteína-proteína
Protein–protein interaction
Ciències Experimentals i Matemàtiques
547
id ES_8ce33b113a507a8f11ea35107329ceed
oai_identifier_str oai:www.tdx.cat:10803/123711
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv Combined use of NMR and computational tools for fragment based drug discovery targeting protein-protein interactions VEGF protein surface recognition as a case study
title Combined use of NMR and computational tools for fragment based drug discovery targeting protein-protein interactions VEGF protein surface recognition as a case study
spellingShingle Combined use of NMR and computational tools for fragment based drug discovery targeting protein-protein interactions VEGF protein surface recognition as a case study
Goldflam, Michael
Reconeixement molecular
Reconocimiento molecular
Molecular recognition
Ressonància magnètica nuclear
Resonancia magnètica nuclear (Física)
Nuclear magnetic resonance
Desenvolupament de medicaments
Desarrollo de los medicamentos
Drug development
Interacció proteïna-proteïna
Interacciones proteína-proteína
Protein–protein interaction
Ciències Experimentals i Matemàtiques
547
title_short Combined use of NMR and computational tools for fragment based drug discovery targeting protein-protein interactions VEGF protein surface recognition as a case study
title_full Combined use of NMR and computational tools for fragment based drug discovery targeting protein-protein interactions VEGF protein surface recognition as a case study
title_fullStr Combined use of NMR and computational tools for fragment based drug discovery targeting protein-protein interactions VEGF protein surface recognition as a case study
title_full_unstemmed Combined use of NMR and computational tools for fragment based drug discovery targeting protein-protein interactions VEGF protein surface recognition as a case study
title_sort Combined use of NMR and computational tools for fragment based drug discovery targeting protein-protein interactions VEGF protein surface recognition as a case study
dc.creator.none.fl_str_mv Goldflam, Michael
author Goldflam, Michael
author_facet Goldflam, Michael
author_role author
dc.contributor.none.fl_str_mv Giralt Lledó, Ernest
Universitat de Barcelona. Departament de Química Orgànica
dc.subject.none.fl_str_mv Reconeixement molecular
Reconocimiento molecular
Molecular recognition
Ressonància magnètica nuclear
Resonancia magnètica nuclear (Física)
Nuclear magnetic resonance
Desenvolupament de medicaments
Desarrollo de los medicamentos
Drug development
Interacció proteïna-proteïna
Interacciones proteína-proteína
Protein–protein interaction
Ciències Experimentals i Matemàtiques
547
topic Reconeixement molecular
Reconocimiento molecular
Molecular recognition
Ressonància magnètica nuclear
Resonancia magnètica nuclear (Física)
Nuclear magnetic resonance
Desenvolupament de medicaments
Desarrollo de los medicamentos
Drug development
Interacció proteïna-proteïna
Interacciones proteína-proteína
Protein–protein interaction
Ciències Experimentals i Matemàtiques
547
description The capacity of proteins to interact with each other rests at the core of biology. Given the ubiquitous nature of these interactions they have attracted the attention of scientists for the development of inhibitors or biochemical tools.The use of biologics to target protein-protein interfaces is relatively advanced; suffer although from some intrinsic drawbacks as the danger of immunogenicity, the inability to cross biological barriers efficiently and high production costs. Small molecule inhibitors do not necessarily share these drawbacks. Unfortunately the druggability of protein-protein interfaces and strategies to target them with small molecules is under open debate. In this work we explore the druggability and methods to target the protein-protein interface of VEGF, a model system with therapeutic relevance in the fields of tumor biology and macular degeneration. We focus mainly on a fragment based approach for the following reasons: i.) proved to be successful at least for some particular protein-protein interfaces, ii.) offers a good coverage of the chemical space with small libraries, iii.) may lead to compounds with improved physicochemical properties compared to HTS. NMR, which is an omnipresent method in the field of fragment based drug discovery since the pioneering work of Fesik, was our tool of choice with a strong focus on combination with novel computational approaches. In the first part of our work we express the required amounts of recombinant VEGF. Then we design and prepared a fragment library after the “SAR by catalog” principle. We developed a new methodology that allowed the preparation of fragment mixtures for NMR based screening with minimized signal overlap. This allowed the direct assessment of nearly all fragment mixtures without the need of mixture deconvolution. Further we developed a program that allowed the automatic evaluation of NMR derived fragment screening data. While being faster than tedious manual interpretation of NMR data it offered a degree of quantitative analysis that would otherwise not be possible in a reasonable amount of time. Our library consistent of over 500 fragments was screened using STD- and CPMG filtered NMR experiments. The analysis of the NMR data resulted in high hit rates but apparent very weak affinity of identified ligands. We successfully developed a competitive 19F NMR based screening assay to identify ligands that bind to the protein-protein interface of VEGF, however none clear competitors could be identified. A second library of over 350 19F containing molecules was screened which led to low hit rates and identification of ligands with apparent very weak affinity. Finally a computational analysis of VEGF surface predicted a low druggability of the protein-protein interface which was in accordance to our experimental observations. The characterization of weak binding fragments and their structural evolution was elaboration was achieved by a combined approach based on NMR and computational experiments. Ligand binding was assessed by the NMR chemical shift perturbation methodology using as probes both amide backbone N-H groups of the protein and its side chain methionine methyl groups. Binding poses were predicted by induced fit docking with the PELE algorithm under strong guidance by NMR derived restrains. Predicted binding modes were used to select fragment analogs with improved binding parameters. This was performed for three cycles and led finally to the discovery of several scaffold families that bind to or in proximity to the protein-protein interface of VEGF. Finally, we present a preliminary exploration of mRNA display for the selection of novel peptide based VEGF ligands.
publishDate 2013
dc.date.none.fl_str_mv 2013
2013
2013
dc.type.none.fl_str_mv info:eu-repo/semantics/doctoralThesis
info:eu-repo/semantics/publishedVersion
format doctoralThesis
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10803/123711
url http://hdl.handle.net/10803/123711
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 220 p.
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universitat de Barcelona
publisher.none.fl_str_mv Universitat de Barcelona
dc.source.none.fl_str_mv TDX (Tesis Doctorals en Xarxa)
reponame:TDR. Tesis Doctorales en Red
instname:CBUC, CESCA
instname_str CBUC, CESCA
reponame_str TDR. Tesis Doctorales en Red
collection TDR. Tesis Doctorales en Red
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Combined use of NMR and computational tools for fragment based drug discovery targeting protein-protein interactions VEGF protein surface recognition as a case studyGoldflam, MichaelReconeixement molecularReconocimiento molecularMolecular recognitionRessonància magnètica nuclearResonancia magnètica nuclear (Física)Nuclear magnetic resonanceDesenvolupament de medicamentsDesarrollo de los medicamentosDrug developmentInteracció proteïna-proteïnaInteracciones proteína-proteínaProtein–protein interactionCiències Experimentals i Matemàtiques547The capacity of proteins to interact with each other rests at the core of biology. Given the ubiquitous nature of these interactions they have attracted the attention of scientists for the development of inhibitors or biochemical tools.The use of biologics to target protein-protein interfaces is relatively advanced; suffer although from some intrinsic drawbacks as the danger of immunogenicity, the inability to cross biological barriers efficiently and high production costs. Small molecule inhibitors do not necessarily share these drawbacks. Unfortunately the druggability of protein-protein interfaces and strategies to target them with small molecules is under open debate. In this work we explore the druggability and methods to target the protein-protein interface of VEGF, a model system with therapeutic relevance in the fields of tumor biology and macular degeneration. We focus mainly on a fragment based approach for the following reasons: i.) proved to be successful at least for some particular protein-protein interfaces, ii.) offers a good coverage of the chemical space with small libraries, iii.) may lead to compounds with improved physicochemical properties compared to HTS. NMR, which is an omnipresent method in the field of fragment based drug discovery since the pioneering work of Fesik, was our tool of choice with a strong focus on combination with novel computational approaches. In the first part of our work we express the required amounts of recombinant VEGF. Then we design and prepared a fragment library after the “SAR by catalog” principle. We developed a new methodology that allowed the preparation of fragment mixtures for NMR based screening with minimized signal overlap. This allowed the direct assessment of nearly all fragment mixtures without the need of mixture deconvolution. Further we developed a program that allowed the automatic evaluation of NMR derived fragment screening data. While being faster than tedious manual interpretation of NMR data it offered a degree of quantitative analysis that would otherwise not be possible in a reasonable amount of time. Our library consistent of over 500 fragments was screened using STD- and CPMG filtered NMR experiments. The analysis of the NMR data resulted in high hit rates but apparent very weak affinity of identified ligands. We successfully developed a competitive 19F NMR based screening assay to identify ligands that bind to the protein-protein interface of VEGF, however none clear competitors could be identified. A second library of over 350 19F containing molecules was screened which led to low hit rates and identification of ligands with apparent very weak affinity. Finally a computational analysis of VEGF surface predicted a low druggability of the protein-protein interface which was in accordance to our experimental observations. The characterization of weak binding fragments and their structural evolution was elaboration was achieved by a combined approach based on NMR and computational experiments. Ligand binding was assessed by the NMR chemical shift perturbation methodology using as probes both amide backbone N-H groups of the protein and its side chain methionine methyl groups. Binding poses were predicted by induced fit docking with the PELE algorithm under strong guidance by NMR derived restrains. Predicted binding modes were used to select fragment analogs with improved binding parameters. This was performed for three cycles and led finally to the discovery of several scaffold families that bind to or in proximity to the protein-protein interface of VEGF. Finally, we present a preliminary exploration of mRNA display for the selection of novel peptide based VEGF ligands.En el contexto de la presente tesis hemos abordado los siguientes objetivos: 1. El uso de métodos de RMN, basados tanto en la observación del ligando como en la observación de proteína, para estudiar la unión de los compuestos de una quimioteca a la zona de VEGF involucrada en la unión a sus receptores. La interacción VEGF/VEGFR puede ser considerada como un caso de estudio para la evaluación de las interfaces proteína-proteína mediante cribado de fragmentos. 2. Desarrollar herramientas basadas en la combinación de RMN y métodos computacionales para abordar: i) un sistema automático de diseño de mezclas de fragmentos; ii) el análisis automático de datos procedentes de cribados basados en RMN; iii) la evolución de fragmentos con muy baja afinidad. 3. Explorar el uso de técnicas de “mRNA display” para el descubrimiento de nuevos ligandos peptídicos para VEGF.Universitat de BarcelonaGiralt Lledó, ErnestUniversitat de Barcelona. Departament de Química Orgànica201320132013info:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/publishedVersion220 p.application/pdfapplication/pdfhttp://hdl.handle.net/10803/123711TDX (Tesis Doctorals en Xarxa)reponame:TDR. Tesis Doctorales en Redinstname:CBUC, CESCAInglésADVERTIMENT. L'accés als continguts d'aquesta tesi doctoral i la seva utilització ha de respectar els drets de la persona autora. Pot ser utilitzada per a consulta o estudi personal, així com en activitats o materials d'investigació i docència en els termes establerts a l'art. 32 del Text Refós de la Llei de Propietat Intel·lectual (RDL 1/1996). Per altres utilitzacions es requereix l'autorització prèvia i expressa de la persona autora. En qualsevol cas, en la utilització dels seus continguts caldrà indicar de forma clara el nom i cognoms de la persona autora i el títol de la tesi doctoral. No s'autoritza la seva reproducció o altres formes d'explotació efectuades amb finalitats de lucre ni la seva comunicació pública des d'un lloc aliè al servei TDX. Tampoc s'autoritza la presentació del seu contingut en una finestra o marc aliè a TDX (framing). Aquesta reserva de drets afecta tant als continguts de la tesi com als seus resums i índexs.info:eu-repo/semantics/openAccessoai:www.tdx.cat:10803/1237112026-06-14T12:46:07Z
score 15.300724