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- Cellular Automata Based Tool for Contact Map Prediction
- Coneva: a Toolbox for Comprehensive Assessment of Protein Contacts Badri Adhikari1, Jackson Nowotny1, Debswapna Bhattacharya1, Jie Hou1 and Jianlin Cheng1,2,3*
- Methods for Mining Protein Contact Maps
- Distance-Based Protein Folding Powered by Deep Learning
- The Role of Local Versus Nonlocal Physicochemical Restraints in Determining Protein Native Structure
- Netsurfp-2.0: Improved Prediction of Protein Structural Features by Integrated Deep Learning
- Amoebacontact and Gdfold: a New Pipeline for Rapid Prediction of Protein Structures
- Deep Neural Network for Protein Contact Prediction by Weighting Sequences in a Multiple Sequence Alignment
- Protein Contact Map Prediction Using Bi-Directional Recurrent Neural Network
- Improved Protein Residue-Residue Contact Prediction Using Image
- Identifying the Building Blocks of Protein Structures from Contact Maps Using Protein Sequence and Evolutionary Information
- Deep Learning Techniques Have Significantly Impacted Protein
- A Statistical Potential-Based Transmembrane Protein Fold Recognition Tool Dániel Kozma and Gábor E
- UNIVERSITY of CALIFORNIA, IRVINE Novel
- Deep Learning in Protein Structural Modeling and Design
- DEEPCON: Protein Contact Prediction Using Dilated Convolutional Neural Networks with Dropout
- CASP13 Abstracts.Pdf
- REALDIST: Real-Valued Protein Distance Prediction
- Residue Contact Prediction for Protein Structure Using 2-Norm Distances Nikita V
- Daisuke Kihara Editor Protein Structure Prediction Third Edition M ETHODS in MOLECULAR BIOLOGY
- Alphafold at CASP13 Mohammed Alquraishi 1,2,*
- Structures of Human Dual Oxidase 1 Complex in Low-Calcium and High-Calcium States ✉ Jing-Xiang Wu1,2,3, Rui Liu1, Kangcheng Song1 & Lei Chen 1,2,3
- Predicting Protein Contact Map by Bagging Decision Trees Chuqiao Ren Bucknell University, [email protected]
- Predicting Protein Folding Pathways
- Cmpymol: a Tool for Protein Contact-Map Analysis