Search Results for author: D. Thirumalai

Found 5 papers, 0 papers with code

Conformational Fluctuations and Phases in Fused in Sarcoma (FUS) Low-Complexity Domain

no code implementations7 Mar 2023 D. Thirumalai, Abhinaw Kumar, Debayan Chakraborty, John E. Straub, Mauro L. Mugnai

One of the more intriguing IDPs is the 526-residue RNA binding protein, Fused In Sarcoma (FUS), whose monomer conformations and condensates exhibit unusual behavior that are sensitive to solution conditions.

Watching ion-driven kinetics of ribozyme folding and misfolding caused by energetic and topological frustration one molecule at a time

no code implementations5 Mar 2023 Naoto Hori, D. Thirumalai

In some molecules, key tertiary structural elements form when Mg$^{2+}$ ions bind to specific RNA sites at the earliest stages of the folding, leading to specific collapse and rapid folding.

Friends in need: how chaperonins recognize and remodel proteins that require folding assistance

no code implementations16 Nov 2022 George Stan, George H. Lorimer, D. Thirumalai

Dramatic large-scale conformational changes, that take place during ATP-driven cycles, allow chaperonins to bind misfolded proteins, encapsulate them into the expanded cavity and release them back into the cellular environment, regardless of whether they are folded or not.

Protein Folding

Low force unfolding of a single-domain protein by parallel pathways

no code implementations21 Dec 2020 Pavel I. Zhuravlev, Michael Hinczewski, D. Thirumalai

Our results, when combined with previous theoretical and experimental studies, show that parallel unfolding of structurally unrelated single domain proteins can be determined from the dependence of $\log k_u(f)$ as a function of force (or $\log k_u[C]$ where $[C]$ is the denaturant concentration).

Soft Condensed Matter Statistical Mechanics

How kinesin waits for ATP affects the nucleotide and load dependence of the stepping kinetics

no code implementations20 Aug 2019 Ryota Takaki, Mauro L. Mugnai, Yonathan Goldtzvik, D. Thirumalai

In particular, we predict that measurement of the randomness parameter could discriminate between the two scenarios for the waiting state of kinesin, thereby resolving this standing controversy.

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