Biology subjects

Sanchez, I. E.

Publications and source records attributed to Sanchez, I. E..

6 recordsLinked to original sources

bioRxiv2026

Electrostatic buffering of non-native interactions in the transition state ensemble for binding of intrinsically disordered proteins

Intrinsically disordered protein regions (IDRs) establish highly specific protein-protein interactions that play key roles in cell signaling. Many IDRs adopt an ordered structure upon binding to folded protein domains, but the energy landscape for coupled folding and binding (CFB) is poorly understood. Here, we elucidate the energy landscape for CFB using the LxCxE motif from the human papillomavirus E7 protein (LxCxEWT) as a minimal model system. Kinetic and structural analysis uncovers strong compensatory energetics whereby stabilizing electrostatic interactions counterbalance energetic frustration in the rate-limiting step for CFB. This mechanism, which we refer to as electrostatic compensation, enables a dynamic search for native contacts while preventing complex dissociation. A global analysis reveals energetic frustration in earliest steps of CFB for many IDRs. Electrostatic compensation may be a widespread mechanism evolved to allow fine-tuning of the affinity and specificity of IDR interactions, which dictates functional selection for charge content within IDRs.

biophysics↗

bioRxiv2025

EXPERIMENTAL KINETIC MECHANISM OF P53 CONDENSATION-AMYLOID AGGREGATION

The tumor suppressor p53 modulates the transcription of a variety of genes constituting a protective barrier against anomalous cellular proliferation. High frequency "hot-spot" mutations result in loss-of-function by the formation of amyloid-like aggregates that correlate with cancerous progression. We show that full-length p53 undergoes spontaneous homotypic condensation at sub-micromolar concentrations and in the absence of crowders, to yield dynamic coacervates that are stoichiometrically dissolved by DNA. These coacervates fuse and evolve into hydrogel-like clusters with strong thioflavin-T binding capacity, which further evolve into fibrillar species with a clearcut branching growth pattern. The amyloid-like coacervates can be rescued by the HPV master regulator E2 protein to yield large regular droplets. Furthermore, we kinetically dissected an overall condensation mechanism which consists of a nucleation-growth process by sequential addition of p53 tetramers, leading to discretely-sized and monodisperse early condensates followed by coalescence into bead-like coacervates that slowly evolve to the fibrillar species. Our results suggest strong similarities to condensation-to-amyloid transitions observed in neurological aggregopathies. Mechanistic insights uncover novel key early and intermediate stages of condensation that can be targeted for p53 rescuing drug discovery. SIGNIFICANT STATEMENTKnown as "the guardian of the genome", the tumor suppressor protein p53 becomes activated by injuries to the DNA genome, and determines whether the cell must undergo self-destruction to avoid cancerous proliferation. P53 is in fact inactivated by mutations in over 50% of all cancers, and restoring its function is recognized as a therapeutic cancer target. A recent biochemical revolution in cell physiology and pathology are liquid entities known as biomolecular condensates. We show that p53 form condensates en route to pathological forms in a surprisingly similar manner to neurological amyloid diseases such as Alzheime[r]s and Parkinso[n]s. We uncover the sequence of steps in the reaction, exposing flanks for a novel drug development platform based on the condensates paradigm.

biophysics↗

bioRxiv2024

Protein-RNA condensation kinetics via filamentous nanoclusters

Protein-RNA phase separation is at the center of membraneless biomolecular condensates governing cell physiology and pathology. Using an archetypical viral protein-RNA condensation model, we determined the sequence of events that starts with sub-second formation of a protomer with two RNAs per protein dimer. Association of additional RNA molecules to weaker secondary binding sites in this protomer kickstarts crystallization-like assembly of a molecular condensate. Primary nucleation is faster than the sum of secondary nucleation and growth, which is a multistep process. Protein-RNA nuclei grow over hundreds of seconds into filaments and subsequently into nanoclusters with circa 600 nm diameter. Cryoelectron microscopy reveals an internal structure formed by incoming layers of protein-RNA filaments made of ribonucleoprotein oligomers, reminiscent of genome packing of a nucleocapsid. These nanoclusters progress to liquid condensate droplets that undergo further partial coalescence to yield typical hydrogel-like protein-RNA coacervates that may represent the scaffold of large viral factory condensates in infected cells. Our integrated experimental kinetic investigation exposes rate limiting steps and structures along a key biological multistep pathway present across life kingdoms.

biophysics↗

bioRxiv2022

PhISCO: a simple method to infer phenotypes from protein sequences

Although protein sequences encode the information for folding and function, understanding their link is not an easy task. Unluckily, the prediction of how specific amino acids contribute to these features is still considerably impaired. Here, we developed PhISCO, Phenotype Inference from Sequence COmparisons, a simple algorithm that finds positions associated with any quantitative phenotype and predicts their values. From a few hundred sequences from four different protein families, we performed multiple sequence alignments and calculated per-position pairwise differences for both the sequence and the observed phenotypes. We found that from 3 to 10 positions, depending on the studied case, were enough to identify positions associated with the phenotypes and perform quantitative predictions of them. Here we show that these strong correlations can be found using individual positions while an improvement is achieved when the most correlated positions are jointly analyzed. Noteworthy, we performed phenotype predictions using a simple linear model that links per-position divergences and differences in observed phenotypes. We also show that although extremely simple, predictions are comparable to the state-of-art methodologies which, in most of the cases, are far more complex. All of the calculations are obtained at a very low information cost since the only input needed is a multiple sequence alignment of protein sequences with their associated quantitative phenotype. The diversity of the explored systems makes PhISCO a valuable tool to find sequence determinants of biological activity modulation and to predict various functional features for uncharacterized members of a protein family.

biophysics↗

bioRxiv2021

Deamidation drives molecular aging of the SARS-CoV-2 spike receptor-binding motif

The spike is the main protein component of the SARS-CoV-2 virion surface. The spike receptor binding motif mediates recognition of the hACE2 receptor, a critical infection step, and is the preferential target for spike-neutralizing antibodies. Post-translational modifications of the spike receptor binding motif can modulate viral infectivity and immune response. We studied the spike protein in search for asparagine deamidation, a spontaneous event that leads to the appearance of aspartic and isoaspartic residues, affecting both the protein backbone and its charge. We used computational prediction and biochemical experiments to identify five deamidation hotspots in the SARS-CoV-2 spike. Similar deamidation hotspots are frequently found at the spike receptor-binding motifs of related sarbecoviruses, at positions that are mutated in emerging variants and in escape mutants from neutralizing antibodies. Asparagine residues 481 and 501 from the receptor-binding motif deamidate with a half-time of 16.5 and 123 days at 37 {degrees}C, respectively. This process is significantly slowed down at 4 {degrees}C, pointing at a strong dependence of spike molecular aging on the environmental conditions. Deamidation of the spike receptor-binding motif decreases the equilibrium constant for binding to the hACE2 receptor more than 3.5-fold. A model for deamidation of the full SARS-CoV-2 virion illustrates that deamidation of the spike receptor-binding motif leads to the accumulation in the virion surface of a chemically diverse spike population in a timescale of days. Our findings provide a mechanism for molecular aging of the spike, with significant consequences for understanding virus infectivity and vaccine development.

biochemistry↗

bioRxiv2021

Conformational buffering underlies functional selection in intrinsically disordered protein regions

Many disordered proteins conserve essential functions in the face of extensive sequence variation. This makes it challenging to identify the forces responsible for functional selection. Viruses are robust model systems to investigate functional selection and they take advantage of protein disorder to acquire novel traits. Here, we combine structural and computational biophysics with evolutionary analysis to determine the molecular basis for functional selection in the intrinsically disordered adenovirus early gene 1A (E1A) protein. E1A competes with host factors to bind the retinoblastoma (Rb) protein, triggering early S-phase entry and disrupting normal cellular proliferation. We show that the ability to outcompete host factors depends on the picomolar binding affinity of E1A for Rb, which is driven by two binding motifs tethered by a hypervariable disordered linker. Binding affinity is determined by the spatial dimensions of the linker, which constrain the relative position of the two binding motifs. Despite substantial sequence variation across evolution, the linker dimensions are finely optimized through compensatory changes in amino acid sequence and sequence length, leading to conserved linker dimensions and maximal affinity. We refer to the mechanism that conserves spatial dimensions despite large-scale variations in sequence as conformational buffering. Conformational buffering explains how variable disordered proteins encode functions and could be a general mechanism for functional selection within disordered protein regions.

biophysics↗