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Fractal Dimension-Based Damage Imaging for Composites

Shock and Vibration 1070-9622 Fractal dimension-based damage imaging for composites Li Zhou 0 Hu Sun 0 Zhiquan He 0 0 State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing

Fractal Dimension-Based Damage Imaging for Composites

Shock and Vibration 1070-9622 Fractal dimension-based damage imaging for composites Li Zhou 0 Hu Sun 0 Zhiquan He 0 0 State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing

MUFOLD-DB: a processed protein structure database for protein structure prediction and analysis

Background Protein structure data in Protein Data Bank (PDB) are widely used in studies of protein function and evolution and in protein structure prediction. However, there are two main barriers in large-scale usage of PDB data: 1) PDB data are highly redundant in terms of sequence and structure similarity; and 2) many PDB files have issues due to inconsistency of data and...

Protein Structural Model Selection by Combining Consensus and Single Scoring Methods

Quality assessment (QA) for predicted protein structural models is an important and challenging research problem in protein structure prediction. Consensus Global Distance Test (CGDT) methods assess each decoy (predicted structural model) based on its structural similarity to all others in a decoy set and has been proved to work well when good decoys are in a majority cluster...

Transmembrane Protein Alignment and Fold Recognition Based on Predicted Topology

Background Although Transmembrane Proteins (TMPs) are highly important in various biological processes and pharmaceutical developments, general prediction of TMP structures is still far from satisfactory. Because TMPs have significantly different physicochemical properties from soluble proteins, current protein structure prediction tools for soluble proteins may not work well for...