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Items: 13

1.

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

Rahman MS, Shatabda S, Saha S, Kaykobad M, Rahman MS.

J Theor Biol. 2018 May 16;452:22-34. doi: 10.1016/j.jtbi.2018.05.006. [Epub ahead of print]

PMID:
29753757
2.

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

Islam MM, Saha S, Rahman MM, Shatabda S, Farid DM, Dehzangi A.

Proteins. 2018 Apr 20. doi: 10.1002/prot.25511. [Epub ahead of print]

PMID:
29675975
3.

EvoStruct-Sub: An accurate Gram-positive protein subcellular localization predictor using evolutionary and structural features.

Uddin MR, Sharma A, Farid DM, Rahman MM, Dehzangi A, Shatabda S.

J Theor Biol. 2018 Apr 14;443:138-146. doi: 10.1016/j.jtbi.2018.02.002. Epub 2018 Feb 5.

PMID:
29421211
4.

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

Zaman R, Chowdhury SY, Rashid MA, Sharma A, Dehzangi A, Shatabda S.

Biomed Res Int. 2017;2017:4590609. doi: 10.1155/2017/4590609. Epub 2017 Nov 14.

5.

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

Rayhan F, Ahmed S, Shatabda S, Farid DM, Mousavian Z, Dehzangi A, Rahman MS.

Sci Rep. 2017 Dec 18;7(1):17731. doi: 10.1038/s41598-017-18025-2.

6.

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

Chowdhury SY, Shatabda S, Dehzangi A.

Sci Rep. 2017 Nov 2;7(1):14938. doi: 10.1038/s41598-017-14945-1.

7.

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

Shatabda S, Saha S, Sharma A, Dehzangi A.

J Theor Biol. 2017 Dec 21;435:229-237. doi: 10.1016/j.jtbi.2017.09.022. Epub 2017 Sep 21.

PMID:
28943403
8.

Efficient conformational space exploration in ab initio protein folding simulation.

Ullah A, Ahmed N, Pappu SD, Shatabda S, Ullah AZ, Rahman MS.

R Soc Open Sci. 2015 Aug 26;2(8):150238. doi: 10.1098/rsos.150238. eCollection 2015 Aug.

9.

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

Karim R, Aziz MM, Shatabda S, Rahman MS, Mia MA, Zaman F, Rakin S.

Sci Rep. 2015 Aug 21;5:13275. doi: 10.1038/srep13275.

10.

How good are simplified models for protein structure prediction?

Shatabda S, Newton MA, Rashid MA, Pham DN, Sattar A.

Adv Bioinformatics. 2014;2014:867179. doi: 10.1155/2014/867179. Epub 2014 Apr 29.

11.

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

Rashid MA, Shatabda S, Newton MA, Hoque MT, Sattar A.

Adv Bioinformatics. 2014;2014:985968. doi: 10.1155/2014/985968. Epub 2014 Mar 16.

12.

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

Shatabda S, Newton MA, Rashid MA, Pham DN, Sattar A.

BMC Bioinformatics. 2013;14 Suppl 2:S19. doi: 10.1186/1471-2105-14-S2-S19. Epub 2013 Jan 21.

13.

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

Rashid MA, Newton MA, Hoque MT, Shatabda S, Pham DN, Sattar A.

BMC Bioinformatics. 2013;14 Suppl 2:S16. doi: 10.1186/1471-2105-14-S2-S16. Epub 2013 Jan 21.

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