S. Mortuza

发表

Atomistic modelling – impact and opportunities in thin-film photovoltaic solar cell technologies

Soumi Banerjee, S. Mortuza, 2017 .

Molecular modeling study of agglomeration of [6,6]-phenyl-C61-butyric acid methyl ester in solvents.

S M Mortuza, Soumi Banerjee, S. Mortuza, 2012, The Journal of chemical physics.

Investigation of Bubble and Fluid Flow Patterns Within a Column Photobioreactor

A. Kommareddy, S. Gent, S. Mortuza, 2012 .

Mechanistic Insight into the Attachment of Fullerene Derivatives on Crystal Faces of Methylammonium Lead Iodide Based Perovskites

Soumi Banerjee, S. Mortuza, M. Taufique, 2016 .

Efficient fast-charging of lithium-ion batteries enabled by laser-patterned three-dimensional graphite anode architectures

N. Dasgupta, J. Sakamoto, J. Mazumder, 2020 .

Reversible Tailoring of Mechanical Properties of Carbon Nanotube Forests by Immersing in Solvents

J. Baur, Soumi Banerjee, B. Cola, 2014 .

FUS rearrangements are rare in ‘pure’ sclerosing epithelioid fibrosarcoma

S. Mortuza, 2013 .

Fueling ab initio folding with marine metagenomics enables structure and function predictions of new protein families

Yang Zhang, Z. Xue, S. Mortuza, 2019, Genome Biology.

Primary intraocular ancient schwannoma: A case report and review of the literature

B. Esmaeli, S. Mortuza, D. Bell, 2014, Head & neck.

Improving fragment-based ab initio protein structure assembly using low-accuracy contact-map predictions

Yang Zhang, Robin Pearce, S. Mortuza, 2021, Nature Communications.

DeepMSA: constructing deep multiple sequence alignment to improve contact prediction and fold-recognition for distant-homology proteins

Yang Zhang, Wei Zheng, Yang Li, 2019, Bioinform..

Salt Solutions in Carbon Nanotubes: The Role of Cation−π Interactions

Z. Siwy, E. Schwegler, T. Pham, 2016 .

NY-ESO-1 expression in synovial sarcoma and other mesenchymal tumors: significance for NY-ESO-1-based targeted therapy and differential diagnosis

S. Mortuza, 2013 .

Detecting distant-homology protein structures by aligning deep neural-network based contact maps

Yang Zhang, Wei Zheng, Robin Pearce, 2019, PLoS Comput. Biol..

Deep‐learning contact‐map guided protein structure prediction in CASP13

Yang Zhang, Wei Zheng, Yang Li, 2019, Proteins.

NeBcon: protein contact map prediction using neural network training coupled with naïve Bayes classifiers

Yang Zhang, Hong-Bin Shen, Yanting Wang, 2017, Bioinform..

Solvent-based preferential deposition of functionalized carbon nanotubes on substrates

Soumi Banerjee, S. Mortuza, 2013 .

Template‐based and free modeling of I‐TASSER and QUARK pipelines using predicted contact maps in CASP12

Yang Zhang, Chengxin Zhang, Baoji He, 2018, Proteins.

Fueling ab initio folding with marine metagenomics enables structure and function predictions of new protein families

Yan Wang, Kang Ning, Yang Zhang, 2019, Genome Biology.

Template‐based and free modeling of I‐TASSER and QUARK pipelines using predicted contact maps in CASP12

Yang Zhang, Yanting Wang, S. Mortuza, 2018, Proteins.

Solution processed deposition of electron transport layers on perovskite crystal surface—A modeling based study

Soumi Banerjee, M. Taufique, S. Mortuza, 2017 .