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Protein fold class
A Deeply Glimpse Into Protein Fold Recognition
Modeling and Predicting Super-Secondary Structures of Transmembrane Beta-Barrel Proteins Thuong Van Du Tran
Final List of NGF Publications (2001-2007)
A Tri-Gram Based Feature Extraction Technique Using Linear Probabilities of Position Specific Scoring Matrix for Protein Fold Recognition
The Classification of Chemical Compounds Should Preferably Be Of
Simple Proteins Conjugated Proteins Enzymes
Amino ACIDS PROTEINS
SVM-Betapred: Prediction of Right-Handed ß-Helix Fold from Protein Sequence Using SVM
Regulation of Oxidoreductase Enzymes During Inflammation
Support Vector Machines for Protein Fold Class Prediction 1
Population Statistics of Protein Structures: Lessons from Structural Classifications Steven E Brenner∗§, Cyrus Chothia² and Tim JP Hubbard³
Computational Methods for the Understanding of Protein-Based Interactions
The Recognition of Multi-Class Protein Folds by Adding Average Chemical Shifts of Secondary Structure Elements
Published Version
Recent Progress in Machine Learning-Based Methods for Protein Fold Recognition
Sequence Physical Properties Encode the Global Organization of Protein Structure Space
Predicting Protein Folding Classes Without Overly Relying on Homology* Mark W
Using Machine Learning to Determine Fold Class and Secondary Structure Content from Raman Optical Activity and Raman Vibrational Spectroscopy
Top View
Protein Binder (Probi) As a New Class of Structurally Robust Non-Antibody Protein Scaffold for Directed Evolution
Protein Chemistry
APROACHES to PREDICTION of PROTEIN STRUCTURE: a REVIEW Er
Highly Accurate Fragment Library for Protein Fold Recognition
SVM for Protein Fold Class Prediction
Posters B Structure and Dynamics of Biomolecules
Amino Acids and Protein DEFINITION of AMINO ACID Organic Compounds Contains N in Addition to C , H, O
Biomolecules: Introduction, Structure and Function
Lecture Notes in Bioinformatics 4774 Edited by S
Amino Acids Proteins
Exploring Protein Functions by Molecular Modelling
(12) Patent Application Publication (10) Pub. No.: US 2011/0224913 A1 Cui Et Al
Veröffentlichungen Publications 2001
Investigation Into the Role of Sequence- Driven-Features and Amino Acid Indices for the Prediction of Structural Classes of Proteins
Atomic Interaction Networks in the Core of Protein Domains and Their Native Folds