List of works - Alok Sharma

2D-EM clustering approach for high-dimensional data through folding feature vectors

scientific article published on 28 December 2017

A Segmentation-Based Method to Extract Structural and Evolutionary Features for Protein Fold Recognition.

scientific article

A between-class overlapping filter-based method for transcriptome data analysis.

scientific article

A combination of feature extraction methods with an ensemble of different classifiers for protein structural class prediction problem

scientific article published in May 2013

A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition.

scientific article

A mixture of physicochemical and evolutionary-based feature extraction approaches for protein fold recognition.

scientific article

A new parameter tuning approach for enhanced motor imagery EEG signal classification

scientific article published on 4 April 2018

A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition.

scientific article

A top-r feature selection algorithm for microarray gene expression data

scientific article

A tri-gram based feature extraction technique using linear probabilities of position specific scoring matrix for protein fold recognition

scientific article published in March 2014

Advancing the Accuracy of Protein Fold Recognition by Utilizing Profiles From Hidden Markov Models

scientific article published on 20 July 2015

An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information

scientific article published on 28 December 2017

Brain wave classification using long short-term memory network based OPTICAL predictor

scientific article published on 24 June 2019

CSP-TSM: Optimizing the performance of Riemannian tangent space mapping using common spatial pattern for MI-BCI.

scientific article published on 24 October 2017

DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture

scientific article published on 06 August 2019

Divisive hierarchical maximum likelihood clustering.

scientific article published on 28 December 2017

Evaluation of sequence features from intrinsically disordered regions for the estimation of protein function.

scientific article

EvoStruct-Sub: An Accurate Gram-positive Protein Subcellular Localization Predictor Using Evolutionary and Structural Features.

scientific article published on 5 February 2018

EvolStruct-Phogly: incorporating structural properties and evolutionary information from profile bigrams for the phosphoglycerylation prediction

scientific article published on 18 April 2019

Gene masking - a technique to improve accuracy for cancer classification with high dimensionality in microarray data

scientific article

GlyStruct: glycation prediction using structural properties of amino acid residues

scientific article published on 04 February 2019

Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou׳s general PseAAC.

scientific article published on 28 September 2014

Gram-positive and Gram-negative subcellular localization using rotation forest and physicochemical-based features

scientific article

HMMBinder: DNA-Binding Protein Prediction Using HMM Profile Based Features.

scientific article published on 14 November 2017

Hierarchical Maximum Likelihood Clustering Approach

scientific article

Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins

scientific article

HseSUMO: Sumoylation site prediction using half-sphere exposures of amino acids residues

scientific article published on 18 April 2019

Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning.

scientific article

Improving protein fold recognition and structural class prediction accuracies using physicochemical properties of amino acids

scientific article published on 07 May 2016

Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information.

scientific article

Improving succinylation prediction accuracy by incorporating the secondary structure via helix, strand and coil, and evolutionary information from profile bigrams.

scientific article published on 12 February 2018

Influenza A virus protein PB1-F2 from different strains shows distinct structural signatures.

scientific article

Mal-Light: Enhancing Lysine Malonylation Sites Prediction Problem Using Evolutionary-based Features

scientific article published on 22 April 2020

Ordered Regions of Channel Nucleoporins Nup62, Nup54, and Nup58 Form Dynamic Complexes in Solution.

scientific article

PSSM-Suc: Accurately predicting succinylation using position specific scoring matrix into bigram for feature extraction

scientific article published on 5 May 2017

PhoglyStruct: Prediction of phosphoglycerylated lysine residues using structural properties of amino acids

scientific article published in Scientific Reports

Phosphorylation of the influenza A virus protein PB1-F2 by PKC is crucial for apoptosis promoting functions in monocytes.

scientific article

Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network.

scientific article

Probabilistic expression of spatially varied amino acid dimers into general form of Chou׳s pseudo amino acid composition for protein fold recognition

scientific article published on 12 June 2015

Proposing a highly accurate protein structural class predictor using segmentation-based features.

scientific article

Protein fold recognition by alignment of amino acid residues using kernelized dynamic time warping

scientific article published on 31 March 2014

Protein fold recognition using HMM-HMM alignment and dynamic programming

scientific article published on 19 January 2016

Protein secondary structure prediction using neural networks and deep learning: A review

scientific article published on 12 August 2019

PupStruct: Prediction of Pupylated Lysine Residues Using Structural Properties of Amino Acids

scientific article published on 28 November 2020

PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences

scientific article published on 01 October 2019

RAM-PGK: Prediction of Lysine Phosphoglycerylation Based on Residue Adjacency Matrix

scientific article published on 20 December 2020

Risk prediction models for dementia constructed by supervised principal component analysis using miRNA expression data

scientific article published on 25 February 2019

SPIDER2: A Package to Predict Secondary Structure, Accessible Surface Area, and Main-Chain Torsional Angles by Deep Neural Networks.

scientific article published in January 2017

Solution structure of the Equine Infectious Anemia Virus p9 protein: a rationalization of its different ALIX binding requirements compared to the analogous HIV-p6 protein

scientific article

Stepwise iterative maximum likelihood clustering approach

scientific article

Structural characterization and oligomerization of PB1-F2, a proapoptotic influenza A virus protein.

scientific article published on 19 October 2006

Subcellular localization for Gram positive and Gram negative bacterial proteins using linear interpolation smoothing model

scientific article published on 16 September 2015

SucStruct: Prediction of succinylated lysine residues by using structural properties of amino acids.

scientific article published on 28 March 2017

Success: evolutionary and structural properties of amino acids prove effective for succinylation site prediction.

scientific article published on 19 January 2018

SumSec: Accurate Prediction of Sumoylation Sites Using Predicted Secondary Structure

scientific article published on 10 December 2018

iPHLoc-ES: Identification of bacteriophage protein locations using evolutionary and structural features

scientific article published on 21 September 2017

List of works by Alok Sharma

2D-EM clustering approach for high-dimensional data through folding feature vectors

A Segmentation-Based Method to Extract Structural and Evolutionary Features for Protein Fold Recognition.

A between-class overlapping filter-based method for transcriptome data analysis.

A combination of feature extraction methods with an ensemble of different classifiers for protein structural class prediction problem

A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition.

A mixture of physicochemical and evolutionary-based feature extraction approaches for protein fold recognition.

A new parameter tuning approach for enhanced motor imagery EEG signal classification

A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition.

A top-r feature selection algorithm for microarray gene expression data

A tri-gram based feature extraction technique using linear probabilities of position specific scoring matrix for protein fold recognition

Advancing the Accuracy of Protein Fold Recognition by Utilizing Profiles From Hidden Markov Models

An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information

Brain wave classification using long short-term memory network based OPTICAL predictor

CSP-TSM: Optimizing the performance of Riemannian tangent space mapping using common spatial pattern for MI-BCI.

DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture

Divisive hierarchical maximum likelihood clustering.

Evaluation of sequence features from intrinsically disordered regions for the estimation of protein function.

EvoStruct-Sub: An Accurate Gram-positive Protein Subcellular Localization Predictor Using Evolutionary and Structural Features.

EvolStruct-Phogly: incorporating structural properties and evolutionary information from profile bigrams for the phosphoglycerylation prediction

Gene masking - a technique to improve accuracy for cancer classification with high dimensionality in microarray data

GlyStruct: glycation prediction using structural properties of amino acid residues

Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou׳s general PseAAC.

Gram-positive and Gram-negative subcellular localization using rotation forest and physicochemical-based features

HMMBinder: DNA-Binding Protein Prediction Using HMM Profile Based Features.

Hierarchical Maximum Likelihood Clustering Approach

Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins

HseSUMO: Sumoylation site prediction using half-sphere exposures of amino acids residues

Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning.

Improving protein fold recognition and structural class prediction accuracies using physicochemical properties of amino acids

Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information.

Improving succinylation prediction accuracy by incorporating the secondary structure via helix, strand and coil, and evolutionary information from profile bigrams.

Influenza A virus protein PB1-F2 from different strains shows distinct structural signatures.

Mal-Light: Enhancing Lysine Malonylation Sites Prediction Problem Using Evolutionary-based Features

Ordered Regions of Channel Nucleoporins Nup62, Nup54, and Nup58 Form Dynamic Complexes in Solution.

PSSM-Suc: Accurately predicting succinylation using position specific scoring matrix into bigram for feature extraction

PhoglyStruct: Prediction of phosphoglycerylated lysine residues using structural properties of amino acids

Phosphorylation of the influenza A virus protein PB1-F2 by PKC is crucial for apoptosis promoting functions in monocytes.

Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network.

Probabilistic expression of spatially varied amino acid dimers into general form of Chou׳s pseudo amino acid composition for protein fold recognition

Proposing a highly accurate protein structural class predictor using segmentation-based features.

Protein fold recognition by alignment of amino acid residues using kernelized dynamic time warping

Protein fold recognition using HMM-HMM alignment and dynamic programming

Protein secondary structure prediction using neural networks and deep learning: A review

PupStruct: Prediction of Pupylated Lysine Residues Using Structural Properties of Amino Acids

PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences

RAM-PGK: Prediction of Lysine Phosphoglycerylation Based on Residue Adjacency Matrix

Risk prediction models for dementia constructed by supervised principal component analysis using miRNA expression data

SPIDER2: A Package to Predict Secondary Structure, Accessible Surface Area, and Main-Chain Torsional Angles by Deep Neural Networks.

Solution structure of the Equine Infectious Anemia Virus p9 protein: a rationalization of its different ALIX binding requirements compared to the analogous HIV-p6 protein

Stepwise iterative maximum likelihood clustering approach

Structural characterization and oligomerization of PB1-F2, a proapoptotic influenza A virus protein.

Subcellular localization for Gram positive and Gram negative bacterial proteins using linear interpolation smoothing model

SucStruct: Prediction of succinylated lysine residues by using structural properties of amino acids.

Success: evolutionary and structural properties of amino acids prove effective for succinylation site prediction.

SumSec: Accurate Prediction of Sumoylation Sites Using Predicted Secondary Structure

iPHLoc-ES: Identification of bacteriophage protein locations using evolutionary and structural features