2026-09-19T08:07:50Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/82400 2023-07-11 col_2142_5131 col_2142_11615 com_2142_5130 com_2142_9130 com_2142_8903

Sahinidis, Nikolaos V. Xie, Wei 2015-09-25T20:43:30Z 2015-09-25T20:43:30Z 10000-01-01 2007 2007 The last part of this dissertation centers on combinatorial library design, which is a promising protein engineering method. Despite the fact that several mathematical models have been proposed recently and shown great promise, little is known about their theoretic properties. We have discovered several important properties, and shown how to exploit these results to design powerful algorithms. Made available in DSpace on 2015-09-25T20:43:30Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3290435.pdf: 2673824 bytes, checksum: a969f71ba2b728b4293dc54df06080a4 (MD5) Previous issue date: 2007 Embargo set by: Seth Robbins for item 83681 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 111 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007. http://hdl.handle.net/2142/82400 (MiAaPQ)AAI3290435 eng Biophysics, General Optimization Algorithms for Protein Bioinformatics text Chemical Engineering Chemical Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.