Suchergebnisse - "Gromiha, M Michael"

PubPharm (86)

1

PRA-Pred : Structure-based prediction of protein-RNA binding affinity

enthalten in: International journal of biological macromolecules | 2024

von Harini, K. | Sekijima, M. | Gromiha, M.

2

Deep learning-based method for predicting and classifying the binding affinity of protein-protein complexes

enthalten in: Biochimica et biophysica acta. Proteins and proteomics | 2023

von Nikam, R. | Yugandhar, K. | Gromiha, M.

3

DeepBSRPred : deep learning-based binding site residue prediction for proteins

enthalten in: Amino acids | 2023

von Nikam, R. | Yugandhar, K. | Gromiha, M.

4

MutBLESS : A tool to identify disease-prone sites in cancer using deep learning

enthalten in: Biochimica et biophysica acta. Molecular basis of disease | 2023

von Pandey, M. | Gromiha, M.

5

Identification of potential driver mutations in glioblastoma using machine learning

enthalten in: Briefings in bioinformatics | 2022

von Pandey, M. | Anoosha, P. | Yesudhas, D. | +1

6

Understanding disorder-to-order transitions in protein-RNA complexes using molecular dynamics simulations

enthalten in: Journal of biomolecular structure & dynamics | 2022

von Srivastava, A. | Yesudhas, D. | Ahmad, S. | +1

7

ProNAB : database for binding affinities of protein-nucleic acid complexes and their mutants

enthalten in: Nucleic acids research | 2022

von Harini, K. | Srivastava, A. | Kulandaisamy, A. | +1

8

Evaluation of in silico tools for the prediction of protein and peptide aggregation on diverse datasets

enthalten in: Briefings in bioinformatics | 2021

von Prabakaran, R. | Rawat, P. | Kumar, S. | +1

ErratumIn: Brief Bioinform. 2021 Sep 09;:. - PMID 34499131

9

Illustrative Tutorials for ProThermDB : Thermodynamic Database for Proteins and Mutants

enthalten in: Current protocols | 2021

von Kulandaisamy, A. | Nikam, R. | Harini, K. | +2

10

AbsoluRATE : An in-silico method to predict the aggregation kinetics of native proteins

enthalten in: Biochimica et biophysica acta. Proteins and proteomics | 2021

von Rawat, P. | Prabakaran, R. | Kumar, S. | +1

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