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Badri Adhikari

Showing results (1-10 of 30) with videos related to

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Scientific Reports|August 10, 2020
A fully open-source framework for deep learning protein real-valued distancesBadri Adhikari
Bioinformatics (Oxford, England)|July 31, 2019
DEEPCON: protein contact prediction using dilated convolutional neural networks with dropoutBadri Adhikari
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 24, 2021
New Labeling Methods for Deep Learning Real-Valued Inter-Residue Distance PredictionJacob Barger, Badri Adhikari
Bioinformatics (Oxford, England)|April 6, 2022
Scoring protein sequence alignments using deep learningBikash Shrestha, Badri Adhikari
BMC Bioinformatics|January 27, 2018
CONFOLD2: improved contact-driven ab initio protein structure modelingBadri Adhikari, Jianlin Cheng
Methods in Molecular Biology (Clifton, N.J.)|April 27, 2016
Protein Residue Contacts and Prediction MethodsBadri Adhikari, Jianlin Cheng
BMC Bioinformatics|August 31, 2017
Improved protein structure reconstruction using secondary structures, contacts at higher distance thresholds, and non-contactsBadri Adhikari, Jianlin Cheng
BMC Genomics|November 9, 2016
Chromosome3D: reconstructing three-dimensional chromosomal structures from Hi-C interaction frequency data using distance geometry simulated annealingBadri Adhikari, Tuan Trieu, Jianlin Cheng
Bioinformatics (Oxford, England)|December 12, 2017
DNCON2: improved protein contact prediction using two-level deep convolutional neural networksBadri Adhikari, Jie Hou, Jianlin Cheng
Protein and Peptide Letters|May 21, 2015
An Improved Integration of Template-Based and Template-Free Protein Structure Modeling Methods and its Assessment in CASP11Jilong Li, Badri Adhikari, Jianlin Cheng
Pageof 3

Showing results (1-10 of 30) with videos related to

Sort By:
Pageof 3
Scientific Reports|August 10, 2020
A fully open-source framework for deep learning protein real-valued distancesBadri Adhikari
Bioinformatics (Oxford, England)|July 31, 2019
DEEPCON: protein contact prediction using dilated convolutional neural networks with dropoutBadri Adhikari
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 24, 2021
New Labeling Methods for Deep Learning Real-Valued Inter-Residue Distance PredictionJacob Barger, Badri Adhikari
Bioinformatics (Oxford, England)|April 6, 2022
Scoring protein sequence alignments using deep learningBikash Shrestha, Badri Adhikari
BMC Bioinformatics|January 27, 2018
CONFOLD2: improved contact-driven ab initio protein structure modelingBadri Adhikari, Jianlin Cheng
Methods in Molecular Biology (Clifton, N.J.)|April 27, 2016
Protein Residue Contacts and Prediction MethodsBadri Adhikari, Jianlin Cheng
BMC Bioinformatics|August 31, 2017
Improved protein structure reconstruction using secondary structures, contacts at higher distance thresholds, and non-contactsBadri Adhikari, Jianlin Cheng
BMC Genomics|November 9, 2016
Chromosome3D: reconstructing three-dimensional chromosomal structures from Hi-C interaction frequency data using distance geometry simulated annealingBadri Adhikari, Tuan Trieu, Jianlin Cheng
Bioinformatics (Oxford, England)|December 12, 2017
DNCON2: improved protein contact prediction using two-level deep convolutional neural networksBadri Adhikari, Jie Hou, Jianlin Cheng
Protein and Peptide Letters|May 21, 2015
An Improved Integration of Template-Based and Template-Free Protein Structure Modeling Methods and its Assessment in CASP11Jilong Li, Badri Adhikari, Jianlin Cheng
Pageof 3