The limitations of various secondary structure prediction algorithms are discussed in terms of local sequence and tertiary structure effects. Evidence is presented which suggests that when one single polypeptide chain is predicted the limitation of prediction accuracy is 63-65% due to consideration of only local sequence effect. Improvements in accuracy brought about by using evolutionary related proteins is analyzed.
Quantification of secondary structure prediction improvement using distantly related proteins / J. M., Levin; Pascarella, Stefano; P., Argos; J., Garnier. - STAMPA. - (1994), pp. 302-314.
Quantification of secondary structure prediction improvement using distantly related proteins
PASCARELLA, Stefano;
1994
Abstract
The limitations of various secondary structure prediction algorithms are discussed in terms of local sequence and tertiary structure effects. Evidence is presented which suggests that when one single polypeptide chain is predicted the limitation of prediction accuracy is 63-65% due to consideration of only local sequence effect. Improvements in accuracy brought about by using evolutionary related proteins is analyzed.File allegati a questo prodotto
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