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Breaking through AlphaFold’s limits to predict how proteins change shape

Researchers have developed a novel AlphaFold-based method that introduces a repulsive force between predicted structures, allowing for the sampling of multiple conformational states. This enables the prediction of diverse protein conformations rapidly and accurately, with potential applications in drug design and protein engineering.

SourceNational Institutes of Natural Sciences·JournalJACS Au·TypeComputational simulation/modeling·DateAug 31, 2026

How proteins bind to RNA: the dual mechanism of zinc fingers and disordered regions

Researchers discovered that disordered regions enhance specific RNA interactions in FUS protein-RNA complexes, revealing a breakthrough strategy for nucleic acid binding. The study suggests that intrinsically disordered regions actively contribute to the RNA-binding mechanism.

SourceInstitute of Science Tokyo·JournalJournal of Chemical Information and Modeling·TypeComputational simulation/modeling·DateAug 28, 2025

Ångström-scale optical microscopy deciphers conformational states of single membrane proteins

Scientists at the Max Planck Institute for the Science of Light developed a new method to resolve specific sites within mechanosensitive protein PIEZO1 in its native cell membrane state. The technique, using cryogenic conditions and rapid freezing, sheds light on how the protein flexes and expands in response to mechanical stimuli.

SourceMax Planck Institute for the Science of Light·JournalScience Advances·TypeImaging analysis·DateAug 21, 2025

Researchers develop new in-cell ultraviolet photodissociation top-down mass spectrometry method

A new in-cell characterization method allows for the direct analysis of protein structures and conformations within living cells. The study reveals three main conformational forms of calmodulin, with the extended form being significantly more abundant than in purified form.

SourceDalian Institute of Chemical Physics, Chinese Academy Sciences·JournalJournal of the American Chemical Society·TypeCommentary/editorial·DateMar 3, 2025

Controlling conformational changes in protein aromatic side chains

Researchers at Institute of Science Tokyo designed a protein cage system that can control and visualize orientational changes in aromatic side chains through strategic binding of fluorescent ligands. This approach enables precise control over protein dynamics while enhancing fluorescence properties, with potential applications in biomo...

SourceInstitute of Science Tokyo·JournalAdvanced Science·TypeExperimental study·DateFeb 26, 2025

U of T researchers develop deep-learning model that outperforms Google AI system to predict peptide structures

Researchers at U of T have developed a deep-learning model called PepFlow that can predict the full range of conformations for peptides, which are shorter than proteins but perform similar biological functions. The model combines machine learning and physics to capture precise and accurate conformations within minutes.

SourceUniversity of Toronto·JournalNature Machine Intelligence·DateJun 27, 2024

New toolkit makes molecular dynamics simulations more accessible!

Researchers have developed PaCS-Toolkit to facilitate accessible parallel cascade selection MD (PaCS-MD) simulations. The software package automates the simulation process via a single configuration file, allowing users to explore different conformations and investigate molecular interactions more efficiently.

SourceTokyo Institute of Technology·JournalThe Journal of Physical Chemistry B·TypeExperimental study·DateApr 23, 2024

Modulation of protein stability: a new approach to studying cosolvent effects

Researchers used molecular dynamics simulations to study how urea and alcohol induce structural changes in proteins, with a focus on stabilizing helices and coils. The team identified preferential binding parameters for both cosolvents, demonstrating opposing effects that can be predicted using computational methods.

SourceOkayama University·JournalProtein Science·TypeComputational simulation/modeling·DateOct 19, 2023

Researchers reveal the structure of the IFT-B complex, which is essential for formation of the cilium organelle

The study reveals the structure of the 15-subunit IFT-B complex, a crucial component in cilia formation and maintenance. The complex's elongated and flexible nature is consistent with previous low-resolution reconstructions, and two configurations are identified that may drive bi-directional movement.

SourceAarhus University·JournalThe EMBO Journal·TypeExperimental study·DateNov 10, 2022

Review highlights potential of structural proteomics for treating neurodegenerative diseases

A recent review highlights the potential of structural proteomics in understanding pathological processes and predicting drug candidates for neurodegenerative diseases. The field combines protein chemistry and mass spectrometry to determine protein structure and interactions, which can lead to breakthroughs in treating serious health c...

Endangered deer's prion gene could protect it from chronic wasting disease

Researchers found two prion gene variants in Père David's deer that may reduce susceptibility to CWD. The genetic variants were surprising given the population's small founder size and conserved prion protein gene. Studies are needed to confirm whether these variants provide protection against CWD.

Rice web server helps identify COVID-19 drug candidates

Researchers developed a new online portal, DINC-COVID, to speed up the identification of potential pandemic treatments. The platform incorporates models of three drug targets and uses ensemble docking to score ligands' success in binding.

SourceRice University·JournalComputers in Biology and Medicine·TypeComputational simulation/modeling·DateNov 1, 2021

Scientists present pre- and postfusion cryo-em structures of SARS-CoV-2 spike protein

The researchers report two new cryo-EM structures representing the pre- and postfusion conformations of the full-length SARS-CoV-2 spike protein. The findings suggest that current vaccine strategies may be relying on limited information about the natural state of the protein, highlighting the need for further evaluation.

About TFE: Old and new findings

Researchers review TFE's role as a structuring agent for unfolded peptides, inducing helical conformations, while also enhancing protein denaturation. The study details recent applications of TFE in conformational studies, including antimicrobial and aggregation-prone peptides.

SourceBentham Science Publishers·JournalCurrent Protein and Peptide Science·DateApr 4, 2019

2016 Protein Science Best Paper Awards

Tracy Clinton and Michael Thompson received the Protein Society's Year 2015 'Best Paper' awards for their work on Ebola drug target mimics. The researchers, who came from diverse backgrounds, were chosen for their innovative approaches to solving complex protein problems.

Deeper insights into protein folding

Scientists develop a new statistical mechanics model to explain protein folding and unfolding in an aqueous environment. The study confirms the validity of their calculations using experimental measurements for two proteins, providing insights into high-energy ions therapy on biological cells.

SourceSpringer·JournalThe European Physical Journal D·DateJun 26, 2014

NMR advance brings proteins into the open

Researchers at Brown University used a novel approach to nuclear magnetic resonance spectroscopy to resolve the key interaction between two proteins. The study reveals that the GroEL chaperone is a permissive captor, allowing the smaller protein to bind at two hydrophobic sites and detach, resulting in conformational heterogeneity.

SourceBrown University·JournalProceedings of the National Academy of Sciences·DateJun 24, 2013

Comparing proteins at a glance

Researchers developed a structural comparison map for small angle X-ray scattering (SAXS), enabling quick identification of protein structures under various conditions. This technique highlights factors making the biggest difference in structural conformations, allowing for high-throughput screening and tracking of trends.

Proteins in detail

Researchers have successfully studied the shape of proteins using a novel strategy combining computational modeling and experimental techniques. This breakthrough has implications for understanding protein functions and diseases such as cancer, Parkinson's, and Alzheimer's.

SourceInstitute for Research in Biomedicine (IRB Barcelona)·JournalProceedings of the National Academy of Sciences·DateMar 27, 2013

UCLA physicists report advance toward nanotechy approach to protein engineering

Researchers at UCLA have made an important advancement in protein engineering by developing a new method to control proteins using nanotechnology. They successfully replaced the natural chemical mechanism controlling protein function with mechanical control, opening up possibilities for reduced side effects and improved treatment options.

SourceUniversity of California - Los Angeles·JournalJournal of the American Chemical Society·DateJun 9, 2006