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S M Mortuza

Showing results (1-10 of 9) with videos related to

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The Journal of Chemical Physics|January 3, 2013
Molecular modeling study of agglomeration of [6,6]-phenyl-C61-butyric acid methyl ester in solventsS M Mortuza, Soumik Banerjee
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|August 15, 2015
Combined deterministic-stochastic framework for modeling the agglomeration of colloidal particlesS M Mortuza, Lahiru K Kariyawasam, Soumik Banerjee
Proteins|October 31, 2017
Template-based and free modeling of I-TASSER and QUARK pipelines using predicted contact maps in CASP12Chengxin Zhang, S M Mortuza, Baoji He, et al.
Bioinformatics (Oxford, England)|November 19, 2019
DeepMSA: constructing deep multiple sequence alignment to improve contact prediction and fold-recognition for distant-homology proteinsChengxin Zhang, Wei Zheng, S M Mortuza, et al.
Bioinformatics (Oxford, England)|April 4, 2017
NeBcon: protein contact map prediction using neural network training coupled with naïve Bayes classifiersBaoji He, S M Mortuza, Yanting Wang, et al.
Proteins|August 1, 2019
Deep-learning contact-map guided protein structure prediction in CASP13Wei Zheng, Yang Li, Chengxin Zhang, et al.
Nature Communications|August 19, 2021
Improving fragment-based ab initio protein structure assembly using low-accuracy contact-map predictionsS M Mortuza, Wei Zheng, Chengxin Zhang, et al.
Genome Biology|November 3, 2019
Fueling ab initio folding with marine metagenomics enables structure and function predictions of new protein familiesYan Wang, Qiang Shi, Pengshuo Yang, et al.
Plos Computational Biology|October 18, 2019
Detecting distant-homology protein structures by aligning deep neural-network based contact mapsWei Zheng, Qiqige Wuyun, Yang Li, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
The Journal of Chemical Physics|January 3, 2013
Molecular modeling study of agglomeration of [6,6]-phenyl-C61-butyric acid methyl ester in solventsS M Mortuza, Soumik Banerjee
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|August 15, 2015
Combined deterministic-stochastic framework for modeling the agglomeration of colloidal particlesS M Mortuza, Lahiru K Kariyawasam, Soumik Banerjee
Proteins|October 31, 2017
Template-based and free modeling of I-TASSER and QUARK pipelines using predicted contact maps in CASP12Chengxin Zhang, S M Mortuza, Baoji He, et al.
Bioinformatics (Oxford, England)|November 19, 2019
DeepMSA: constructing deep multiple sequence alignment to improve contact prediction and fold-recognition for distant-homology proteinsChengxin Zhang, Wei Zheng, S M Mortuza, et al.
Bioinformatics (Oxford, England)|April 4, 2017
NeBcon: protein contact map prediction using neural network training coupled with naïve Bayes classifiersBaoji He, S M Mortuza, Yanting Wang, et al.
Proteins|August 1, 2019
Deep-learning contact-map guided protein structure prediction in CASP13Wei Zheng, Yang Li, Chengxin Zhang, et al.
Nature Communications|August 19, 2021
Improving fragment-based ab initio protein structure assembly using low-accuracy contact-map predictionsS M Mortuza, Wei Zheng, Chengxin Zhang, et al.
Genome Biology|November 3, 2019
Fueling ab initio folding with marine metagenomics enables structure and function predictions of new protein familiesYan Wang, Qiang Shi, Pengshuo Yang, et al.
Plos Computational Biology|October 18, 2019
Detecting distant-homology protein structures by aligning deep neural-network based contact mapsWei Zheng, Qiqige Wuyun, Yang Li, et al.
Pageof 1