List of works - Swakkhar Shatabda

A Parallel Framework for Multipoint Spiral Search in ab Initio Protein Structure Prediction.

scientific article

Accurately Predicting Glutarylation Sites Using Sequential Bi-Peptide-Based Evolutionary Features

scientific article published on 31 August 2020

CFSBoost: Cumulative feature subspace boosting for drug-target interaction prediction

scientific article published on 19 December 2018

CoMOGrad and PHOG: From Computer Vision to Fast and Accurate Protein Tertiary Structure Retrieval.

scientific article published on 21 August 2015

Convolutional neural networks with image representation of amino acid sequences for protein function prediction

scientific article published on 24 April 2021

DPP-PseAAC: A DNA-binding protein prediction model using Chou's general PseAAC

scientific article published on 16 May 2018

EPAI-NC: Enhanced prediction of adenosine to inosine RNA editing sites using nucleotide compositions

scientific article published on 18 January 2019

Effective DNA binding protein prediction by using key features via Chou's general PseAAC

scientific article published on 11 October 2018

Efficient conformational space exploration in ab initio protein folding simulation

scientific article

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

scientific article published on 5 February 2018

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

scientific article published on 14 November 2017

How good are simplified models for protein structure prediction?

scientific article

OriC-ENS: A sequence-based ensemble classifier for predicting origin of replication in S. cerevisiae

scientific article published on 26 April 2021

Spiral search: a hydrophobic-core directed local search for simplified PSP on 3D FCC lattice.

scientific article

SubFeat: Feature subspacing ensemble classifier for function prediction of DNA, RNA and protein sequences

scientific article published on 24 April 2021

The road not taken: retreat and diverge in local search for simplified protein structure prediction ⬇️

scientific article published on January 21, 2013

iDNAProt-ES: Identification of DNA-binding Proteins Using Evolutionary and Structural Features

scientific article published on 2 November 2017

iDTI-ESBoost: Identification of Drug Target Interaction Using Evolutionary and Structural Features with Boosting.

scientific article published on 18 December 2017

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

scientific article published on 21 September 2017

iPro70-FMWin: identifying Sigma70 promoters using multiple windowing and minimal features

scientific article published on 05 September 2018

iPromoter-FSEn: Identification of bacterial σ promoter sequences using feature subspace based ensemble classifier

scientific article published on 29 July 2018

iProtGly-SS: Identifying protein glycation sites using sequence and structure based features

scientific article published on 02 May 2018

iRSpot-SF: Prediction of recombination hotspots by incorporating sequence based features into Chou's Pseudo components

scientific article published on 20 June 2018

List of works by Swakkhar Shatabda

A Parallel Framework for Multipoint Spiral Search in ab Initio Protein Structure Prediction.

Accurately Predicting Glutarylation Sites Using Sequential Bi-Peptide-Based Evolutionary Features

CFSBoost: Cumulative feature subspace boosting for drug-target interaction prediction

CoMOGrad and PHOG: From Computer Vision to Fast and Accurate Protein Tertiary Structure Retrieval.

Convolutional neural networks with image representation of amino acid sequences for protein function prediction

DPP-PseAAC: A DNA-binding protein prediction model using Chou's general PseAAC

EPAI-NC: Enhanced prediction of adenosine to inosine RNA editing sites using nucleotide compositions

Effective DNA binding protein prediction by using key features via Chou's general PseAAC

Efficient conformational space exploration in ab initio protein folding simulation

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

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

How good are simplified models for protein structure prediction?

OriC-ENS: A sequence-based ensemble classifier for predicting origin of replication in S. cerevisiae

Spiral search: a hydrophobic-core directed local search for simplified PSP on 3D FCC lattice.

SubFeat: Feature subspacing ensemble classifier for function prediction of DNA, RNA and protein sequences

The road not taken: retreat and diverge in local search for simplified protein structure prediction ⬇️

iDNAProt-ES: Identification of DNA-binding Proteins Using Evolutionary and Structural Features

iDTI-ESBoost: Identification of Drug Target Interaction Using Evolutionary and Structural Features with Boosting.

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

iPro70-FMWin: identifying Sigma70 promoters using multiple windowing and minimal features

iPromoter-FSEn: Identification of bacterial σ promoter sequences using feature subspace based ensemble classifier

iProtGly-SS: Identifying protein glycation sites using sequence and structure based features

iRSpot-SF: Prediction of recombination hotspots by incorporating sequence based features into Chou's Pseudo components