Proteins are versatile biomolecules used for many important medical, industrial, and biotechnological purposes. Most natural proteins are only marginally stable, which can limit their effectiveness for these uses. A major goal of protein design is to generate proteins that have high stability and maintain biological activity. Protein consensus sequence design is a promising protein design strategy that has demonstrated success in achieving this goal. In protein consensus sequence design, a “consensus” sequence for a protein family is made by combining the most frequent amino acid at each position in an alignment of naturally-occurring sequences. Since residues important for both protein stability and function are often highly conserved, sta...
Computational design of proteins is a relatively new field, where scientists search the enormous seq...
Computational protein design attempts to create protein sequences that fold stably into pre-specifie...
We have conceived and implemented a cyclical protein design strategy that couples theory, computatio...
At the molecular level, protein molecules embody a remarkable relationship between structure and fun...
Consensus design is an appealing strategy for the stabilization of proteins. It exploits amino acid ...
Consensus engineering, which is replacing amino acids by the most frequently occurring one at their ...
Consensus protein design is a rapid and reliable technique for the improvement of protein stability,...
Biological Sciences: 2nd Place (The Ohio State University Edward F. Hayes Graduate Research Forum)Co...
Several groups have applied and experimentally tested systematic, quan-titative methods to protein d...
Computational protein design aims to predict protein sequences that will fold into a given three-dim...
Designing a protein sequence that will fold into a predefined structure is of both practical and fun...
The first fully automated design and experimental validation of a novel sequence for an entire prote...
Proteins can fold spontaneously into well-defined three-dimensional structures and can carry out com...
Protein design critically tests our understanding of principles that specify the protein folded stat...
Protein design tests our understanding of protein stability and structure. Successful design methods...
Computational design of proteins is a relatively new field, where scientists search the enormous seq...
Computational protein design attempts to create protein sequences that fold stably into pre-specifie...
We have conceived and implemented a cyclical protein design strategy that couples theory, computatio...
At the molecular level, protein molecules embody a remarkable relationship between structure and fun...
Consensus design is an appealing strategy for the stabilization of proteins. It exploits amino acid ...
Consensus engineering, which is replacing amino acids by the most frequently occurring one at their ...
Consensus protein design is a rapid and reliable technique for the improvement of protein stability,...
Biological Sciences: 2nd Place (The Ohio State University Edward F. Hayes Graduate Research Forum)Co...
Several groups have applied and experimentally tested systematic, quan-titative methods to protein d...
Computational protein design aims to predict protein sequences that will fold into a given three-dim...
Designing a protein sequence that will fold into a predefined structure is of both practical and fun...
The first fully automated design and experimental validation of a novel sequence for an entire prote...
Proteins can fold spontaneously into well-defined three-dimensional structures and can carry out com...
Protein design critically tests our understanding of principles that specify the protein folded stat...
Protein design tests our understanding of protein stability and structure. Successful design methods...
Computational design of proteins is a relatively new field, where scientists search the enormous seq...
Computational protein design attempts to create protein sequences that fold stably into pre-specifie...
We have conceived and implemented a cyclical protein design strategy that couples theory, computatio...