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Pratiti Bhadra

Showing results (1-10 of 19) with videos related to

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Proteins|May 28, 2014
De novo inference of protein function from coarse-grained dynamicsPratiti Bhadra, Debnath Pal
Computers in Biology and Medicine|March 11, 2017
Pipeline for inferring protein function from dynamics using coarse-grained molecular mechanics forcefieldPratiti Bhadra, Debnath Pal
International Journal of Molecular Sciences|October 13, 2021
Molecular Modeling of Signal Peptide Recognition by Eukaryotic Sec ComplexesPratiti Bhadra, Volkhard Helms
Langmuir : the ACS Journal of Surfaces and Colloids|June 28, 2019
Refined Empirical Force Field to Model Protein-Self-Assembled Monolayer Interactions Based on AMBER14 and GAFFPratiti Bhadra, Shirley W I Siu
Langmuir : the ACS Journal of Surfaces and Colloids|January 27, 2021
Effect of Concentration, Chain Length, Hydrophobicity, and an External Electric Field on the Growth of Mixed Alkanethiol Self-Assembled Monolayers: A Molecular Dynamics StudyPratiti Bhadra, Shirley W I Siu
Biochimica Et Biophysica Acta. Biomembranes|September 18, 2022
Effect of Sec62 on the conformation of the Sec61 channel in yeastPratiti Bhadra, Karin Römisch, Volkhard Helms
Computational Biology and Chemistry|April 15, 2026
BrainShuttle-ESM: A Multi-Stage Transformer Architecture for Predicting Blood-Brain Barrier-Penetrating Short PeptidesSathiyajith J N, Gopi Mohan C, Pratiti Bhadra
Journal of Proteome Research|June 22, 2017
Molecular Dynamics Information Improves cis-Peptide-Based Function Annotation of ProteinsSreetama Das, Pratiti Bhadra, Suryanarayanarao Ramakumar, et al.
Plos Computational Biology|March 29, 2021
How does Sec63 affect the conformation of Sec61 in yeast?Pratiti Bhadra, Lalitha Yadhanapudi, Karin Römisch, et al.
Scientific Reports|January 28, 2018
AmPEP: Sequence-based prediction of antimicrobial peptides using distribution patterns of amino acid properties and random forestPratiti Bhadra, Jielu Yan, Jinyan Li, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Proteins|May 28, 2014
De novo inference of protein function from coarse-grained dynamicsPratiti Bhadra, Debnath Pal
Computers in Biology and Medicine|March 11, 2017
Pipeline for inferring protein function from dynamics using coarse-grained molecular mechanics forcefieldPratiti Bhadra, Debnath Pal
International Journal of Molecular Sciences|October 13, 2021
Molecular Modeling of Signal Peptide Recognition by Eukaryotic Sec ComplexesPratiti Bhadra, Volkhard Helms
Langmuir : the ACS Journal of Surfaces and Colloids|June 28, 2019
Refined Empirical Force Field to Model Protein-Self-Assembled Monolayer Interactions Based on AMBER14 and GAFFPratiti Bhadra, Shirley W I Siu
Langmuir : the ACS Journal of Surfaces and Colloids|January 27, 2021
Effect of Concentration, Chain Length, Hydrophobicity, and an External Electric Field on the Growth of Mixed Alkanethiol Self-Assembled Monolayers: A Molecular Dynamics StudyPratiti Bhadra, Shirley W I Siu
Biochimica Et Biophysica Acta. Biomembranes|September 18, 2022
Effect of Sec62 on the conformation of the Sec61 channel in yeastPratiti Bhadra, Karin Römisch, Volkhard Helms
Computational Biology and Chemistry|April 15, 2026
BrainShuttle-ESM: A Multi-Stage Transformer Architecture for Predicting Blood-Brain Barrier-Penetrating Short PeptidesSathiyajith J N, Gopi Mohan C, Pratiti Bhadra
Journal of Proteome Research|June 22, 2017
Molecular Dynamics Information Improves cis-Peptide-Based Function Annotation of ProteinsSreetama Das, Pratiti Bhadra, Suryanarayanarao Ramakumar, et al.
Plos Computational Biology|March 29, 2021
How does Sec63 affect the conformation of Sec61 in yeast?Pratiti Bhadra, Lalitha Yadhanapudi, Karin Römisch, et al.
Scientific Reports|January 28, 2018
AmPEP: Sequence-based prediction of antimicrobial peptides using distribution patterns of amino acid properties and random forestPratiti Bhadra, Jielu Yan, Jinyan Li, et al.
Pageof 2