Author

J. M. Lalmansingh

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 4

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:cell signaling & trafficking· 2 Approach:deep learning· 2 Assay:protein sequence· 2 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1

Frequent Co-Authors

R. V. Pappu· 4 shared K. M. Ruff· 3 shared A. E. Posey· 2 shared A. P. Jalihal· 1 shared A. S. Gladfelter· 1 shared A. S. Holehouse· 1 shared A. T. Keeley· 1 shared A. Z. Lin· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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4 shared papersBiophysics

R. V. Pappu

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4 papers

Recent·Most cited

SOURSOP: A Python package for the analysis of simulations of intrinsically disordered proteins

J. M. Lalmansingh, A. T. Keeley, K. M. Ruff, R. V. Pappu, A. S. Holehouse

SOURSOP is a Python package for analyzing simulated conformational ensembles of intrinsically disordered proteins, offering tools to quantify sequence-specific properties.

bioRxiv · Feb 16, 2023Biophysics

Dynamical control enables the formation of demixed biomolecular condensates

A. Z. Lin, K. M. Ruff, A. P. Jalihal, F. Dar, M. R. King, J. M. Lalmansingh, A. E. Posey, I. Seim, A. S. Gladfelter, R. V. Pappu

This study identifies dynamical control as a mechanism enabling the formation of demixed biomolecular condensates by showing that asynchronous molecular production is required for their coexistence.

bioRxiv · Jan 4, 2023Biophysics

Uncovering non-random binary patterns within sequences of intrinsically disordered proteins

M. C. Cohan, M. K. Shinn, J. M. Lalmansingh, R. V. Pappu

This paper introduces NARDINI, a computational method to identify non-random binary patterns in intrinsically disordered proteins by comparing sequence patterns to null models.

bioRxiv · Aug 19, 2021Biophysics

Mechanistic inferences from analysis of measurements of protein phase transitions in live cells

A. E. Posey, K. M. Ruff, J. M. Lalmansingh, T. S. Kandola, J. J. Lange, R. Halfmann, R. V. Pappu

This paper develops a supervised method to classify phase transitions in live cells using DAmFRET data, revealing sequence features that drive prion-like behavior and enabling quantitative analysis of nucleation probabilities.

bioRxiv · Nov 4, 2020Biophysics