Badri Adhikari

发表

Large-scale model quality assessment for improving protein tertiary structure prediction

Jilong Li, Renzhi Cao, Debswapna Bhattacharya, 2015, Bioinform..

The MULTICOM protein tertiary structure prediction system.

Jilong Li, Renzhi Cao, Debswapna Bhattacharya, 2014, Methods in molecular biology.

SAXSDom: Modeling multidomain protein structures using small‐angle X‐ray scattering data

Badri Adhikari, Jianlin Cheng, Jie Hou, 2019, Proteins.

Protein Residue Contacts and Prediction Methods.

Badri Adhikari, Jianlin Cheng, Jianlin Cheng, 2016, Methods in molecular biology.

ConEVA: a toolbox for comprehensive assessment of protein contacts

Jie Hou, Debswapna Bhattacharya, Badri Adhikari, 2016, BMC Bioinformatics.

DISTEVAL: a web server for evaluating predicted protein distances

Badri Adhikari, Bikash Shrestha, Matthew Bernardini, 2021, BMC Bioinformatics.

An Improved Integration of Template-Based and Template-Free Protein Structure Modeling Methods and its Assessment in CASP11.

Jilong Li, Badri Adhikari, Jianlin Cheng, 2015, Protein and peptide letters.

Deep learning methods for protein torsion angle prediction

Jie Hou, Badri Adhikari, Jianlin Cheng, 2017, BMC Bioinformatics.

Massive integration of diverse protein quality assessment methods to improve template based modeling in CASP11

Jilong Li, Renzhi Cao, Debswapna Bhattacharya, 2016, Proteins.

REALDIST: Real-valued protein distance prediction

Badri Adhikari, 2020 .

Assessing Predicted Contacts for Building Protein Three-Dimensional Models.

Renzhi Cao, Debswapna Bhattacharya, Badri Adhikari, 2017, Methods in molecular biology.

DEEPCON: Protein Contact Prediction using Dilated Convolutional Neural Networks with Dropout

Badri Adhikari, B. Adhikari, 2019, bioRxiv.

CONFOLD2: improved contact-driven ab initio protein structure modeling

Badri Adhikari, Jianlin Cheng, Jianlin Cheng, 2017, BMC Bioinformatics.

Analysis of several key factors influencing deep learning-based inter-residue contact prediction

Jie Hou, Badri Adhikari, Jianlin Cheng, 2019, Bioinform..

SAXSDom: Modeling multi-domain protein structures using small-angle X-ray scattering data

Badri Adhikari, Jie Hou, Jianlin Cheng, 2019, bioRxiv.

Resdiue-residue contact driven protein structure prediction using optimization and machine learning

Badri Adhikari, B. Adhikari, 2017 .

A fully open-source framework for deep learning protein real-valued distances

Badri Adhikari, 2020, Scientific Reports.

DeepSF: Deep Convolutional Neural Network for Mapping Protein Sequences to Folds

Jie Hou, Badri Adhikari, Jianlin Cheng, 2018, BCB.

DNCON2: improved protein contact prediction using two-level deep convolutional neural networks

Jie Hou, Badri Adhikari, Jianlin Cheng, 2017, bioRxiv.

QAcon: single model quality assessment using protein structural and contact information with machine learning techniques

Miao Sun, Jie Hou, Renzhi Cao, 2016, Bioinform..

DEEPCON: Protein Contact Prediction using Dilated Convolutional Neural Networks with Dropout

Badri Adhikari, 2019 .

CONFOLD2: improved contact-driven ab initio protein structure modeling

Badri Adhikari, Jianlin Cheng, 2018, BMC Bioinformatics.

DNCON2: Improved protein contact prediction using two-level deep convolutional neural networks

Badri Adhikari, Jianlin Cheng, Jie Hou, 2017 .

A fully open-source framework for deep learning protein real-valued distances

Badri Adhikari, B. Adhikari, 2020, Scientific Reports.

DeepSF: deep convolutional neural network for mapping protein sequences to folds

Jie Hou, Badri Adhikari, Jianlin Cheng, 2017, Bioinform..

FRAGSION: ultra-fast protein fragment library generation by IOHMM sampling

Jilong Li, Debswapna Bhattacharya, Badri Adhikari, 2016, Bioinform..

An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12

Adam Liwo, Yi He, Jilong Li, 2018, Scientific Reports.

Improved protein structure reconstruction using secondary structures, contacts at higher distance thresholds, and non-contacts

Badri Adhikari, Jianlin Cheng, Jianlin Cheng, 2017, BMC Bioinformatics.

CONFOLD: residue-residue contact-guided ab initio protein folding

Badri Adhikari, Jianlin Cheng, Jianlin Cheng, 2015 .

Chromosome3D: reconstructing three-dimensional chromosomal structures from Hi-C interaction frequency data using distance geometry simulated annealing

Badri Adhikari, Jianlin Cheng, Tuan Trieu, 2016, BMC Genomics.

Protein contact prediction by integrating deep multiple sequence alignments, coevolution and machine learning

Badri Adhikari, Jianlin Cheng, Jie Hou, 2018, Proteins.