Motivation Sequence-based prediction of one dimensional structural properties of proteins
has been a long-standing subproblem of protein structure prediction. Recently, prediction …

Predicting protein structure from sequence alone is challenging. Thus, the majority of
methods for protein structure prediction rely on evolutionary information from multiple …

Motivation The accuracy of predicting protein local and global structural properties such as
secondary structure and solvent accessible surface area has been stagnant for many years …

Accurate prediction of protein secondary structure is essential for accurate sequence
alignment, three‐dimensional structure modeling, and function prediction. The accuracy of …

Predicting one-dimensional structure properties has played an important role to improve
prediction of protein three-dimensional structures and functions. The most commonly …

Direct prediction of protein structure from sequence is a challenging problem. An effective
approach is to break it up into independent sub-problems. These sub-problems such as …

Protein secondary structure (SS) prediction is important for studying protein structure and
function. When only the sequence (profile) information is used as input feature, currently the …

Predicting protein structure from the amino acid sequence has been a challenge with
theoretical and practical significance in biophysics. Despite the recent progresses elicited by …

Abstract Background We describe Distill, a suite of servers for the prediction of protein
structural features: secondary structure; relative solvent accessibility; contact density; …

The ability to predict local structural features of a protein from the primary sequence is of
paramount importance for unraveling its function in absence of experimental structural …