Protein Structure Prediction - Globe Thesis

Keyword [Protein Structure Prediction] Result: 101 - 120 \| Page: 6 of 8
101.	Bayesian nonparametric methods for protein structure prediction
102.	Creating new local structure alphabets for protein structure prediction
103.	Theoretical and in silico modeling of biological systems: From protein structure prediction to cellular dynamics
104.	High resolution force fields and residue contact prediction models for protein structure prediction
105.	Advances in protein structure determination and protein structural feature prediction using computer science
106.	Assessment and prediction of protein structures
107.	New protein structure prediction method using inter-residue distances and a theoretical investigation of the isomerization of azobenzene and disubstituted azobenzenes
108.	Mathematical optimization and algorithmic development for protein structure prediction
109.	Design of comprehensible learning machine systems for protein structure prediction
110.	Method development and application in protein structure prediction, computational molecular docking and network biology
111.	Theoretical studies of proteins and protein-ligand complexes: Part I. Toward the development of an efficient all-atom implicit-solvent model for use in protein structure prediction. Part II. Molecular dynamics of studies of trypsin-ligand complexes
112.	Computational simulation of biological systems: Studies on protein folding and protein structure prediction
113.	BCL::SAS - Small Angle X-ray / Neutron Scattering Profiles to Assist Protein Structure Prediction
114.	A threading approach to protein structure prediction: Studies on TNF-like molecules, Rev proteins, and protein kinases
115.	Advances in Computational Protein Structure Prediction
116.	Protein structure prediction by linear programming
117.	Computational protein structure prediction
118.	Protein structure prediction and structure-based protein function annotation
119.	A novel approach to de novo protein structure prediction using knowledge based energy functions and experimental restraints
120.	A machine learning approach to protein structure prediction
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