C. Nithin

发表

A structure-based model for the prediction of protein–RNA binding affinity

R. Bahadur, C. Nithin, Sunandan Mukherjee, 2019, RNA.

Probing binding hot spots at protein–RNA recognition sites

Amita Barik, Ranjit Prasad Bahadur, Sunandan Mukherjee, 2015, Nucleic acids research.

Dissecting water binding sites at protein–protein interfaces: a lesson from the atomic structures in the Protein Data Bank

R. Bahadur, C. Nithin, Sunandan Mukherjee, 2019, Journal of biomolecular structure & dynamics.

RNA and DNA G-quadruplexes bind to human Dicer and inhibit its activity

Marek C. Milewski, J. Bujnicki, C. Nithin, 2020, bioRxiv.

Molecular insights into RNA recognition and gene regulation by the TRIM-NHL protein Mei-P26.

J. Bujnicki, C. Nithin, S. Glatt, 2022, Life science alliance.

Designing and development of novel antituberculosis drugs by in silico targeting against Decaprenyl-phosphoryl-β-D-ribose oxidase: A structure based drug designing approach

R. Bahadur, C. Nithin, Amita Barik, 2011 .

Modeling of Three-Dimensional RNA Structures Using SimRNA.

Tomasz K. Wirecki, J. Bujnicki, M. Boniecki, 2020, Methods in molecular biology.

Genome-wide mapping of SARS-CoV-2 RNA structures identifies therapeutically-relevant elements

Natacha S. Ogando, Tomasz K. Wirecki, J. Bujnicki, 2020, Nucleic acids research.

Genome-wide identification of miRNAs and lncRNAs in Cajanus cajan

R. Bahadur, C. Nithin, J. Basak, 2017, BMC Genomics.

MAPIYA contact map server for identification and visualization of molecular interactions in proteins and biological complexes

Aleksandra E. Badaczewska-Dawid, C. Nithin, Mateusz Kurcinski, 2022, Nucleic Acids Res..

Constrained peptides mimic a viral suppressor of RNA silencing

J. Bujnicki, C. Nithin, T. Grossmann, 2020, Nucleic acids research.

NCodR: A multi-class support vector machine classification to distinguish non-coding RNAs in Viridiplantae

R. Bahadur, C. Nithin, Sunandan Mukherjee, 2022, Quantitative Plant Biology.

Computational Pipeline for Reference-Free Comparative Analysis of RNA 3D Structures Applied to SARS-CoV-2 UTR Models

Tomasz K. Wirecki, Zhichao Miao, E. Westhof, 2022, International journal of molecular sciences.

Genome-wide mapping of therapeutically-relevant SARS-CoV-2 RNA structures

Tomasz K. Wirecki, J. Bujnicki, C. Nithin, 2020, bioRxiv.

Computational prediction of miRNAs and their targets in Phaseolus vulgaris using simple sequence repeat signatures

R. Bahadur, C. Nithin, J. Basak, 2015, BMC Plant Biology.

Molecular insights into RNA recognition and gene regulation by the TRIM-NHL protein Mei-P26

J. Bujnicki, A. Horn, C. Nithin, 2021, Life Science Alliance.

QRNAS: software tool for refinement of nucleic acid structures

Janusz M. Bujnicki, Juliusz Stasiewicz, Sunandan Mukherjee, 2019, BMC Structural Biology.

Advanced computational tools for quantitative analysis of protein–nucleic acid interfaces

C. Nithin, Sunandan Mukherjee, 2022, Advances in Protein Molecular and Structural Biology Methods.

Identification and characterization of differentially expressed Phaseolus vulgaris miRNAs and their targets during mungbean yellow mosaic India virus infection reveals new insight into Phaseolus-MYMIV interaction.

R. Bahadur, C. Nithin, J. Basak, 2019, Genomics.

Targeting Non-Coding RNAs in Plants with the CRISPR-Cas Technology is a Challenge yet Worth Accepting

C. Nithin, J. Basak, 2015, Front. Plant Sci..

Bioinformatics Tools and Benchmarks for Computational Docking and 3D Structure Prediction of RNA-Protein Complexes

Janusz M Bujnicki, Pritha Ghosh, Chandran Nithin, 2018, Genes.

Computational modeling of RNA 3D structure based on experimental data

Janusz M. Bujnicki, Pritha Ghosh, Sunandan Mukherjee, 2019, Bioscience reports.

A non‐redundant protein–RNA docking benchmark version 2.0

Ranjit Prasad Bahadur, Sunandan Mukherjee, Chandran Nithin, 2017, Proteins.

NCodR: A multi-class SVM classification to distinguish between non-coding RNAs in Viridiplantae

R. Bahadur, C. Nithin, Sunandan Mukherjee, 2021, bioRxiv.

Computational Modeling Methods for 3D Structure Prediction of Ribozymes

Janusz M. Bujnicki, Pritha Ghosh, Filip Stefaniak, 2021, Ribozymes.

Computational modeling of RNA 3D structure based on experimental data

Astha, J. Bujnicki, C. Nithin, 2019, Bioscience reports.

Structure prediction of the druggable fragments in SARS-CoV-2 untranslated regions

Tomasz K. Wirecki, Zhichao Miao, E. Westhof, 2021, bioRxiv.

Computational prediction of miRNAs and their targets in Phaseolus vulgaris using simple sequence repeat signatures

R. Bahadur, C. Nithin, J. Basak, 2015, BMC Plant Biology.

Comparative analysis of RNA 3D structure prediction methods: towards enhanced modeling of RNA–ligand interactions

C. Nithin, J. Nowicka, S. Kmiecik, 2024, Nucleic acids research.