Biology subjects

Pindi, C.

Publications and source records attributed to Pindi, C..

7 recordsLinked to original sources

bioRxiv2026

Edge-Aware Graph Attention Networks for Interpreting Biophysical Mechanisms from Molecular Dynamics Simulations

Graph attention networks (GATs) are emerging as powerful aritficial intelligence (AI) tools for learning biomolecular dynamics, yet extracting mechanistic insight from learned attention remains challenging. Here, we present an interpretable AI approach that combines molecular dynamics prediction with mechanistic interpretation through attention-derived communication networks. We develop three edge-aware GAT models - Edge-Conditioned, Edge-Injected, and Edge-Gated - that differ in how edge information is incorporated during message passing. Relative to a standard GAT, our edge-aware models improve coordinate prediction while recovering complementary aspects of residue communication. Application to Chignolin and HIV-1 protease demonstrates their ability to characterize communication networks underlying protein folding, allostery, and mutation-induced functional remodeling. Analysis of the communication networks using graph-based descriptors of communication throughput, intensity, and relay revealed that the Edge-Conditioned model preferentially emphasizes communication hubs characterized by high communication throughput and intensity, the Edge-Injected model preferentially highlights high-intensity communication within functionally important regions, and the Edge-Gated model most clearly resolves long-range communication relay. Overall, this approach provides an interpretable AI strategy for uncovering the communication mechanisms that underlie folding, allostery, and long-range signal propagation in molecular machines, while also supporting AI-guided modulation of biomolecular function and rational protein engineering.

biophysics↗

bioRxiv2026

Transposon end recognition and pairing by I-F3 CRISPR-associated transposase

To develop gene therapy tools based on CRISPR-associated transposons (CASTs), it is essential to define how transposon ends are recognized and paired during transposition. Tn7-like transposons typically contain asymmetric left- and right-end sequences that flank and define DNA cargo. However, how the transposase recognizes these different sequences and assembles them into a paired end complex for cut-and-paste transposition remains unknown. Here we present the cryo-EM structure of type I-F3 (VchCAST) CAST transposase TnsB in complex with transposon DNA ends and host factor IHF, along with biochemistry, molecular dynamics, and in vivo analyses. Our structure reveals the stoichiometry and architecture of the assembly, as well as the DNA distortions required to accommodate transposon end asymmetry. Molecular dynamics suggests that these distortions are required for the coordinated assembly of the complex. Physical pairing of asymmetric left and right ends results in a novel protein-protein interface that is required for transposition efficiency. Our findings explain how transposases regulate the pairing of transposon end sequences for high-fidelity recognition, reveal a model of transposon end synapsis, and suggest future avenues to engineer DNA cargo for genome-editing applications.

biochemistry↗

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

Design Rules for Expanding PAM Compatibility in CRISPR-Cas9 from the VQR, VRER and EQR variants

Expanding the range of Protospacer Adjacent Motifs (PAMs) recognized by CRISPR-Cas9 is essential for broadening genome-editing applications. Here, we combine molecular dynamics simulations with graph-theory and centrality analyses to dissect the principles of PAM recognition in three Cas9 variants - VQR, VRER, and EQR - that target non-canonical PAMs. We show that efficient recognition is not dictated solely by direct contacts between PAM-interacting residues and DNA, but also by a distal network that stabilizes the PAM-binding domain and preserves long-range communication with REC3, a hub that relays signals to the HNH nuclease. A key role emerges for the D1135V/E substitution, which enables stable DNA binding by K1107 and preserves key DNA phosphate locking interactions via S1109, securing stable PAM engagement. In contrast, variants carrying only R-to-Q substitutions at PAM-contacting residues, though predicted to enhance adenine recognition, destabilize the PAM-binding cleft, perturb REC3 dynamics, and disrupt allosteric coupling to HNH. Together, these findings establish that PAM recognition requires local stabilization, distal coupling, and entropic tuning, rather than a simple consequence of base-specific contacts. This framework provides guiding principles for engineering Cas9 variants with expanded PAM compatibility and improved editing efficiency. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=103 SRC="FIGDIR/small/673821v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@1011b93org.highwire.dtl.DTLVardef@1b96a0eorg.highwire.dtl.DTLVardef@1e1c42corg.highwire.dtl.DTLVardef@11628be_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

bioRxiv2025

Graph Attention Neural Networks Reveal TnsC Filament Assembly in a CRISPR-Associated Transposon

CRISPR-associated transposons (CAST) enable programmable, RNA-guided DNA integration, marking a transformative advancement in genome engineering. A central player in the type V-K CAST system is the AAA+ ATPase TnsC, which assembles into helical filaments on double-stranded DNA (dsDNA) to orchestrate target site recognition and transposition. Despite its essential role, the molecular mechanisms underlying TnsC filament nucleation and elongation remain poorly understood. Here, multiple-microsecond and free energy simulations are combined with deep learning-based Graph Attention Network (GAT) models to elucidate the mechanistic principles of TnsC filament formation and growth. Our findings reveal that ATP binding promotes TnsC nucleation by inducing DNA remodelling and stabilizing key protein-DNA interactions, particularly through conserved residues in the initiator-specific motif (ISM). Furthermore, GNN-based attention analyses identify a directional bias in filament elongation in the 5'[->]3' direction and uncover a dynamic compensation mechanism between incoming and bound monomers that facilitate directional growth along dsDNA. By leveraging deep learning-based graph representations, our GAT model provides interpretable mechanistic insights from complex molecular simulations and is readily adaptable to a wide range of biological systems. Altogether, these findings establish a mechanistic framework for TnsC filament dynamics and directional elongation, advancing the rational design of CAST systems with enhanced precision and efficiency.

biophysics↗

bioRxiv2021

Co-aggregation and secondary nucleation in the life cycle of human prolactin/galanin functional amyloids

Synergistic-aggregation and cross-seeding by two different amyloid proteins/peptides are well evident in various neurological disorders. However, this phenomenon is not well studied in functional amyloid aggregation. Here, we show Prolactin (PRL) is associated with lactation in mammals and neuropeptide galanin (GAL), which are co-stored in the lactotrophs facilitates the synergic aggregation in the absence of secretory granules helper molecules glycosaminoglycans (GAGS). Interestingly, although each partner possesses homotypic seeding ability, a unidirectional cross-seeding of GAL aggregation can be mediated by PRL seeds. The specificity of co-aggregation by PRL and GAL along with unidirectional cross-seeding suggests tight regulation of functional amyloid formation during co-storage of these hormones in secretory granule biogenesis of female rat lactotrophs. Further mixed fibrils release the constituent functional hormone much faster than the corresponding individual amyloid formed in presence of GAGs, suggesting that co-aggregation of functionally distant hormones might have evolved for efficient storage, synergistic and rapid release of both hormones upon stimulation. The co-aggregation and cross seeding by two different hormones of completely different structures and sequences (PRL and GAL) suggest a novel mechanism of heterologous amyloid formation both in disease and functional amyloids.

biophysics↗

bioRxiv2018

Breaking the “unbreakable” ZIKA virus envelope

The rapid spread of zika virus (ZIKV) and its association with microcephaly and Guillain-Barre syndrome have raised major concerns worldwide. Studies have shown that ZIKV can survive in harsh conditions, e.g. high fever; in sharp contrast to the dengue virus (DENV) of same Flaviviridae family. In spite of recent cryo-EM structures that showed similar architecture of the ZIKV and DENV envelopes, little is known of what makes ZIKV envelope so robust and unique. Here, we present a detailed analysis of the constituent raft-raft and protein-protein interactions on ZIKV and DENV envelopes to undermine their differential stability at near-atomic to atomic level using coarse-grained (CG) and all-atom (AA) molecular dynamics simulations. Our results from CG simulations show that, at high temperatures, ZIKV envelope retains its structural integrity, while DENV2 disintegrate through the formation of holes at 5- and 3-fold vertices. Protein structural network from AA simulations shows a stronger inter-raft communications in ZIKV through multiple electrostatic and H-bond interactions. Particularly, the intricate network of interlocking DE-loop and FG-loop among five DIII domains in ZIKA vertices was exceedingly robust that makes this envelope stable, even at high temperatures. Our results are validated by alanine mutations to the CD-loop residues Gln350 and Thr351 that showed no effect on ZIKA stability, in close accordance with a recent mutagenesis study. These detailed information, which were difficult to extract experimentally, broadened our understanding of the flaviviruses and can accelerate the structure-based drug designing processes aiming ZIKA and DENV therapeutics.\n\nIMPORTANCEThe rapid spread of zika virus (ZIKV) and its association with severe birth defects have raised worldwide concern. Recent studies have shown that ZIKV can survive in harsh conditions, e.g. high fever, unlike dengue (DENV) and other flaviviruses. Here, we unravel the molecular basis of ZIKV unprecedented stability over DENV at high temperatures, mimicking fever. Our study, based on coarse-grained and all-atom molecular dynamics simulations, could not only explore the mechanism of DENV envelope breaking at high temperatures, but also captured atomic-level contacts and interactions at raft-raft and protein-protein interfaces that keep ZIKV envelope intact in similar conditions. The obtained results are validated by in-silico and reported in-vitro mutagenesis studies by showing the presence of specific H-bonding and electrostatic interactions among ZIKV E protein residues. At the end, our study was successful to define potential ZIKV epitopes and provide residue-level insights for designing specific ZIKV antibodies and small molecule inhibitors.

biophysics↗