Biology subjects

Arantes, P. R.

Publications and source records attributed to Arantes, P. R..

7 recordsLinked to original sources

bioRxiv2026

Orthosteric and allosteric effects of anti-CRISPR II-C1 inhibition on GeoCas9 from integrated structural biophysics

Anti-CRISPRs (Acrs) are small protein inhibitors of CRISPR-Cas effectors that originate from the translated genetic material of bacteriophage. Harnessing the natural ability of Acrs to bind and disrupt CRISPR-Cas editing can provide enhanced spatiotemporal control of gene editing. Recent studies have revealed diverse structures and functions of Acrs, however, atomistic studies of the specific molecular mechanisms behind Acr inhibition are lacking. Here, we reveal how structure, function, and dynamics govern AcrIIC1 inhibition of Cas9 from G. stearothermophilus (GeoCas9) via its HNH nuclease domain. An X-ray crystal structure of the GeoHNH-AcrIIC1complex reveals a conserved binding interface at the catalytic site and disruption of crucial electrostatic contacts known to modulate the thermostability of GeoCas9. AcrIIC1 binding also rewires the intrinsic dynamics of the GeoHNH domain, stimulates millisecond motions that are absent from the unliganded nuclease, and attenuates the guide RNA affinity of GeoCas9. Subsequent AcrIIC1 mutations in residues at its crystallographic binding interface uncouple Acr binding from inhibition, providing new insight into mechanism by which AcrIIC1 acts on GeoCas9.

biophysics↗

bioRxiv2025

FastConformation: A Standalone ML-Based Toolkit for Modeling and Analyzing Protein Conformational Ensembles at Scale

Deep learning approaches like AlphaFold 2 (AF2) have revolutionized structural biology by accurately predicting the ground state structures of proteins. Recently, clustering and subsampling techniques that manipulate multiple sequence alignment (MSA) inputs into AlphaFold to generate conformational ensembles of proteins have also been proposed. Although many of these techniques have been made open source, they often require integrating multiple packages and can be challenging for researchers who have a limited programming background to employ. This is especially true when researchers are interested in subsampling to produce predictions of protein conformational ensembles, which require multiple computational steps. This manuscript introduces FastConformation, a Python-based application that integrates MSA generation, structure prediction via AF2, and interactive analysis of protein conformations and their distributions, all in one place. FastConformation is accessible through a user-friendly GUI suitable for non-programmers, allowing users to iteratively refine subsampling parameters based on their analyses to achieve diverse conformational ensembles. Starting from an amino acid sequence, users can make protein conformation predictions and analyze results in just a few hours on their local machines, which is significantly faster than traditional molecular dynamics (MD) simulations. Uniquely, by leveraging the subsampling of MSAs, our tool enables the generation of alternative protein conformations. We demonstrate the utility of FastConformation on proteins including the Abl1 kinase, LAT1 transporter, and CCR5 receptor, showcasing its ability to predict and analyze the protein conformational ensembles and effects of mutations on a variety of proteins. This tool enables a wide range of high-throughput applications in protein biochemistry, drug discovery, and protein engineering.

biophysics↗

bioRxiv2024

Unveiling Cas8 Dynamics and Regulation within a transposon-encoded Cascade-TniQ Complex

The Vibrio cholerae Cascade-TniQ complex unveiled a new paradigm in biology, demonstrating that CRISPR-associated proteins can direct DNA transposition. Despite the tremendous potential of "knocking in" genes at desired sites, the mechanisms underlying DNA binding and transposition remain elusive. In this system, a conformational change of the Cas8 protein is essential for DNA binding, yet how it occurs is unclear. Here, structural modeling and free energy simulations reconstruct the Cas8 helical bundle and reveal an open-to-close conformational transition at key steps of the complexs function. We show that when Cascade-TniQ binds RNA, the Cas8 bundle changes conformation mediated by the interaction with the Cas7.1 protein. This interaction alleviates unfavorable contacts and synchronizes Cas8s shift with neighboring subunits, lowering the barrier for the transition to the open state, a critical requirement for DNA binding. As DNA fully pairs with RNA, the open state becomes increasingly accessible, favoring interactions with DNA and aiding the formation of an R-loop. These outcomes provide the first dynamic representation of a critical conformational change in one of the largest CRISPR systems and illustrate its role at critical steps of the Cascade-TniQ biophysical function, advancing our understanding of nucleic acid binding and transposition mechanisms.

biophysics↗

bioRxiv2023

New design strategies for ultra-specific CRISPR-Cas13a-based RNA-diagnostic tools with single-nucleotide mismatch sensitivity

The pressing need for clinical diagnostics has required the development of novel nucleic acid-based detection technologies that are sensitive, fast, and inexpensive, and that can be deployed at point-of-care. Recently, the RNA-guided ribonuclease CRISPR-Cas13 has been successfully harnessed for such purposes. However, developing assays for detection of genetic variability, for example single-nucleotide polymorphisms, is still challenging and previously described design strategies are not always generalizable. Here, we expanded our characterization of LbuCas13a RNA-detection specificity by performing a combination of experimental RNA mismatch tolerance profiling, molecular dynamics simulations, protein, and crRNA engineering. We found certain positions in the crRNA-target-RNA duplex that are particularly sensitive to mismatches and establish the effect of RNA concentration in mismatch tolerance. Additionally, we determined that shortening the crRNA spacer or modifying the direct repeat of the crRNA leads to stricter specificities. Furthermore, we harnessed our understanding of LbuCas13a allosteric activation pathways through molecular dynamics and structure-guided engineering to develop novel Cas13a variants that display increased sensitivities to single-nucleotide mismatches. We deployed these Cas13a variants and crRNA design strategies to achieve superior discrimination of SARS-CoV-2 strains compared to wild-type LbuCas13a. Together, our work provides new design criteria and new Cas13a variants for easier-to-implement Cas13-based diagnostics. KEY POINTSO_LICertain positions in the Cas13a crRNA-target-RNA duplex are particularly sensitive to mismatches. C_LIO_LIUnderstanding Cas13as allosteric activation pathway allowed us to develop novel high-fidelity Cas13a variants. C_LIO_LIThese Cas13a variants and crRNA design strategies achieve superior discrimination of SARS-CoV-2 strains. C_LI GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=145 SRC="FIGDIR/small/550755v1_ufig1.gif" ALT="Figure 1"> View larger version (38K): org.highwire.dtl.DTLVardef@1a3fd63org.highwire.dtl.DTLVardef@1509a82org.highwire.dtl.DTLVardef@cfcd7aorg.highwire.dtl.DTLVardef@bb2f0f_HPS_FORMAT_FIGEXP M_FIG New strategies to improve Cas13a RNA-detection specificity developed via mismatch tolerance profiling, uncovering features that modulate specificity, and structure-guided engineering of LbuCas13a. C_FIG

molecular biology↗

bioRxiv2023

RNA-mediated Allosteric Activation in CRISPR-Cas13a

Cas13a is a recent addition to the CRISPR-Cas toolkit that exclusively targets RNA, which makes it a promising tool for RNA detection. The protein uses a CRISPR RNA (crRNA) to target RNA sequences, which are cleaved by a composite active site formed by two Higher Eukaryotes and Prokaryotes Nucleotide (HEPN) catalytic domains. In this system, an intriguing form of allosteric communication controls RNA cleavage activity, yet its molecular details are unknown. Here, multiple-microsecond molecular dynamics simulations are combined with graph theory and RNA cleavage assays to decipher this activation mechanism. We show that the binding of a target RNA acts as an allosteric effector of the spatially distant HEPN catalytic cleft, by amplifying the allosteric signals over the dynamical noise, that passes through the buried HEPN interface. Critical residues in this region - N378, R973, and R377 - rearrange their interactions upon target RNA binding, and alter allosteric signalling. Alanine mutation of these residues is experimentally shown to select target RNA over an extended complementary sequence beyond guide-target duplex, for RNA cleavage. Altogether, our findings offer a fundamental understanding of the Cas13a mechanism of action and pave new avenues for the development of more selective RNA-based cleavage and detection tools.

biophysics↗

bioRxiv2022

An Alpha-helical Lid Guides the Target DNA toward Catalysis in CRISPR-Cas12a

CRISPR-Cas12a is a powerful RNA-guided genome-editing system, also emerging as a robust diagnostic tool that cleaves double-stranded DNA using only the RuvC domain. This opens an overarching question on how the spatially distant DNA target strand (TS) traverses toward the RuvC catalytic core. Here, continuous tens of microsecond-long molecular dynamics and free-energy simulations reveal that an -helical lid, located within the RuvC domain, plays a pivotal role in the traversal of the TS by anchoring the crRNA:TS hybrid and elegantly guiding the TS toward the RuvC core, as also corroborated by DNA cleavage experiments. In this mechanism, the REC2 domain pushes the crRNA:TS hybrid toward the core of the enzyme, while the Nuc domain aids the bending and accommodation of the TS within the RuvC core by bending inward. Understanding of this cardinal process in the functioning of Cas12a will enrich fundamental knowledge and facilitate further engineering strategies for genome-editing.

biophysics↗

bioRxiv2021

Enhanced Specificity Mutations Perturb Allosteric Signaling in CRISPR-Cas9

CRISPR-Cas9 is a molecular tool with transformative genome editing capabilities. At the molecular level, an intricate allosteric signaling is critical for DNA cleavage, but its role in the specificity enhancement of the Cas9 endonuclease is poorly understood. Here, solution NMR is combined with multi-microsecond molecular dynamics and graph theory-derived models to probe the allosteric role of key enhancement specificity mutations. We show that the mutations responsible for increasing the specificity of Cas9 alter the allosteric structure of the catalytic HNH domain, impacting the signal transmission from the DNA recognition region to the catalytic sites for cleavage. Specifically, the K855A mutation strongly disrupts the HNH domain allosteric structure, exerting the highest perturbation on the signaling transfer, while K810A and K848A result in more moderate effects on the allosteric intercommunication. This differential perturbation of the allosteric signaling reflects the different capabilities of the single mutants to increase Cas9 specificity, with the mutation achieving the highest specificity also strongly perturbing the signaling transfer. These outcomes reveal that the allosteric regulation is critical for the specificity enhancement of the Cas9 enzyme, and are valuable to harness the signaling network to improve the systems specificity.

biophysics↗