Shatabda S - Search Results

1

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. Uddin MR, et al. Among authors: shatabda s. J Theor Biol. 2018 Apr 14;443:138-146. doi: 10.1016/j.jtbi.2018.02.002. Epub 2018 Feb 5. J Theor Biol. 2018. PMID: 29421211

2

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

Chowdhury SY, Shatabda S, Dehzangi A. Chowdhury SY, et al. Among authors: shatabda s. Sci Rep. 2017 Nov 2;7(1):14938. doi: 10.1038/s41598-017-14945-1. Sci Rep. 2017. PMID: 29097781 Free PMC article.

3

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. Rayhan F, et al. Among authors: shatabda s. Sci Rep. 2017 Dec 18;7(1):17731. doi: 10.1038/s41598-017-18025-2. Sci Rep. 2017. PMID: 29255285 Free PMC article.

4

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

Zaman R, Chowdhury SY, Rashid MA, Sharma A, Dehzangi A, Shatabda S. Zaman R, et al. Among authors: shatabda s. Biomed Res Int. 2017;2017:4590609. doi: 10.1155/2017/4590609. Epub 2017 Nov 14. Biomed Res Int. 2017. PMID: 29270430 Free PMC article.

5

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

Islam MM, Saha S, Rahman MM, Shatabda S, Farid DM, Dehzangi A. Islam MM, et al. Among authors: shatabda s. Proteins. 2018 Jul;86(7):777-789. doi: 10.1002/prot.25511. Epub 2018 May 2. Proteins. 2018. PMID: 29675975

6

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

Rahman MS, Shatabda S, Saha S, Kaykobad M, Rahman MS. Rahman MS, et al. Among authors: shatabda s. J Theor Biol. 2018 Sep 7;452:22-34. doi: 10.1016/j.jtbi.2018.05.006. Epub 2018 May 16. J Theor Biol. 2018. PMID: 29753757

7

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

Adilina S, Farid DM, Shatabda S. Adilina S, et al. Among authors: shatabda s. J Theor Biol. 2019 Jan 7;460:64-78. doi: 10.1016/j.jtbi.2018.10.027. Epub 2018 Oct 11. J Theor Biol. 2019. PMID: 30316822

8

iRecSpot-EF: Effective sequence based features for recombination hotspot prediction.

Jani MR, Khan Mozlish MT, Ahmed S, Tahniat NS, Farid DM, Shatabda S. Jani MR, et al. Among authors: shatabda s. Comput Biol Med. 2018 Dec 1;103:17-23. doi: 10.1016/j.compbiomed.2018.10.005. Epub 2018 Oct 11. Comput Biol Med. 2018. PMID: 30336361

9

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

Rayhan F, Ahmed S, Md Farid D, Dehzangi A, Shatabda S. Rayhan F, et al. Among authors: shatabda s. J Theor Biol. 2019 Mar 7;464:1-8. doi: 10.1016/j.jtbi.2018.12.024. Epub 2018 Dec 19. J Theor Biol. 2019. PMID: 30578798

10

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

Muhammod R, Ahmed S, Md Farid D, Shatabda S, Sharma A, Dehzangi A. Muhammod R, et al. Among authors: shatabda s. Bioinformatics. 2019 Oct 1;35(19):3831-3833. doi: 10.1093/bioinformatics/btz165. Bioinformatics. 2019. PMID: 30850831 Free PMC article.

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