1 resultado para Combinatorial Algorithms
em Duke University
Filtro por publicador
- Aberdeen University (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (8)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (35)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (9)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (6)
- Aston University Research Archive (35)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (13)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (25)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (47)
- Brock University, Canada (13)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (8)
- CentAUR: Central Archive University of Reading - UK (88)
- Cochin University of Science & Technology (CUSAT), India (7)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (44)
- Cor-Ciencia - Acuerdo de Bibliotecas Universitarias de Córdoba (ABUC), Argentina (2)
- CUNY Academic Works (12)
- Dalarna University College Electronic Archive (8)
- Department of Computer Science E-Repository - King's College London, Strand, London (64)
- Digital Commons - Michigan Tech (7)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Knowledge Repository of Central Drug Research Institute (2)
- Digital Peer Publishing (4)
- DigitalCommons@The Texas Medical Center (4)
- DigitalCommons@University of Nebraska - Lincoln (6)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (12)
- Duke University (1)
- FUNDAJ - Fundação Joaquim Nabuco (1)
- Galway Mayo Institute of Technology, Ireland (1)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Instituto Politécnico do Porto, Portugal (36)
- Martin Luther Universitat Halle Wittenberg, Germany (8)
- Massachusetts Institute of Technology (5)
- National Center for Biotechnology Information - NCBI (31)
- Nottingham eTheses (2)
- Publishing Network for Geoscientific & Environmental Data (2)
- RDBU - Repositório Digital da Biblioteca da Unisinos (2)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (7)
- Repositório da Produção Científica e Intelectual da Unicamp (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (69)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (7)
- School of Medicine, Washington University, United States (1)
- Scielo Saúde Pública - SP (3)
- Universidad Autónoma de Nuevo León, Mexico (2)
- Universidad de Alicante (9)
- Universidad Politécnica de Madrid (42)
- Universidade do Minho (9)
- Universidade Federal do Pará (2)
- Universidade Federal do Rio Grande do Norte (UFRN) (8)
- Universitat de Girona, Spain (5)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (6)
- Université de Lausanne, Switzerland (41)
- Université de Montréal (1)
- Université de Montréal, Canada (13)
- University of Connecticut - USA (1)
- University of Michigan (38)
- University of Queensland eSpace - Australia (74)
- University of Southampton, United Kingdom (3)
Resumo:
This thesis focuses on the development of algorithms that will allow protein design calculations to incorporate more realistic modeling assumptions. Protein design algorithms search large sequence spaces for protein sequences that are biologically and medically useful. Better modeling could improve the chance of success in designs and expand the range of problems to which these algorithms are applied. I have developed algorithms to improve modeling of backbone flexibility (DEEPer) and of more extensive continuous flexibility in general (EPIC and LUTE). I’ve also developed algorithms to perform multistate designs, which account for effects like specificity, with provable guarantees of accuracy (COMETS), and to accommodate a wider range of energy functions in design (EPIC and LUTE).