ABSTRACT We present an analysis of 10 blind predictions prepared for a recent confer-ence, “Critical Assessment of Techniques for Protein Structure Prediction.” ’ The sequences of these proteins are not detectably similar to those of any protein in the structure database then available, but we attempted, by a thread-ing method, to recognize similarity to known domain folds. Four of the 10 proteins, as we subsequently learned, do indeed show signifi-cant similarity to then-known structures. For 2 of these proteins the predictions were accurate, in the sense that a similar structure was at or near the top of the list of threading scores, and the threading alignment agreed well with the corresponding structural alignment. For the best predicte...
A strategy is presented for protein fold recognition from secondary structure assignments (alpha-hel...
A strategy is presented for protein fold recognition from secondary structure assignments (alpha-hel...
Modem techniques in biology have produced sequence data for huge quantities of proteins, and 3-D str...
Analysis of our fold recognition results in the 3rd Critical Assessment in Structure Prediction (CAS...
The development of human genome project calls for more rapid and accurate protein structure predicti...
Protein structures provide keys to deep understanding of biological problems and applicable research...
In fold recognition by threading one takes the amino acid sequence of a protein and evaluates how we...
Abstract Background Work on protein structure prediction is very useful in biological research. To e...
We developed a novel Monte Carlo threading algorithm... and 3.5 Å, the success of threading alignmen...
ABSTRACT: We present a comprehensive analysis of methods for improving the fold recognition rate of ...
Genome sequencing projects are producing linear amino acid sequences, but full understanding of the ...
Guessing the boundaries of structural domains has been an important and challenging problem in exper...
Structural biologists will perform a significant portion of their future work in silico due to incre...
Computational recognition of native-like folds from a protein fold database is considered to be a pr...
Guessing the boundaries of structural domains has been an important and challenging problem in exper...
A strategy is presented for protein fold recognition from secondary structure assignments (alpha-hel...
A strategy is presented for protein fold recognition from secondary structure assignments (alpha-hel...
Modem techniques in biology have produced sequence data for huge quantities of proteins, and 3-D str...
Analysis of our fold recognition results in the 3rd Critical Assessment in Structure Prediction (CAS...
The development of human genome project calls for more rapid and accurate protein structure predicti...
Protein structures provide keys to deep understanding of biological problems and applicable research...
In fold recognition by threading one takes the amino acid sequence of a protein and evaluates how we...
Abstract Background Work on protein structure prediction is very useful in biological research. To e...
We developed a novel Monte Carlo threading algorithm... and 3.5 Å, the success of threading alignmen...
ABSTRACT: We present a comprehensive analysis of methods for improving the fold recognition rate of ...
Genome sequencing projects are producing linear amino acid sequences, but full understanding of the ...
Guessing the boundaries of structural domains has been an important and challenging problem in exper...
Structural biologists will perform a significant portion of their future work in silico due to incre...
Computational recognition of native-like folds from a protein fold database is considered to be a pr...
Guessing the boundaries of structural domains has been an important and challenging problem in exper...
A strategy is presented for protein fold recognition from secondary structure assignments (alpha-hel...
A strategy is presented for protein fold recognition from secondary structure assignments (alpha-hel...
Modem techniques in biology have produced sequence data for huge quantities of proteins, and 3-D str...