Biology subjects

Fita, I.

Publications and source records attributed to Fita, I..

4 recordsLinked to original sources

bioRxiv2026

A covalent irreversible inhibitor binds in two mutually exclusive conformations to the active-site cysteine residue of human aldehyde dehydrogenase 1A3

Aldehyde dehydrogenases (ALDH) are enzymes that catalyze the NAD(P)+-dependent oxidation of aldehydes into carboxylic acids, playing roles in detoxification, biosynthesis, and regulatory functions. Dysfunction of ALDH is associated with serious conditions such as alcohol intolerance, cancer, cardiovascular problems, and neurological disorders. In humans, ALDH1A1 and ALDH1A3 isoforms act as retinaldehyde dehydrogenases and are overexpressed in various cancers, where high levels are associated with increased tumor malignancy, cancer stem cell traits, and therapeutic resistance. ALDH1A3 is recognized as a promising target for anticancer therapies, with several inhibitors, mainly reversible, developed to specifically target it or the enzyme family. Since ALDH enzymes can also display esterase activity, we used this property to develop an in vitro assay specifically targeting the esterase function of ALDH1A3. A highly conserved active-site cysteine in ALDH1A3 is located at the bottom of two converging channels, which define the substrate- and cofactor-binding pockets. To target this catalytic cysteine, we screened a library of 3,200 cysteine-focused covalent fragments. This led to the identification of Z3405279217 (Z34), an acrylamide-based covalent compound that inhibits both ALDH1A1 and ALDH1A3 at sub-micromolar levels. Biochemical and biophysical tests confirmed that Z34 acts as a time-dependent, covalent, and irreversible binder to the active-site cysteine. In this work, we determined the Cryo-EM structure of the ALDH1A3-Z34 complex at 2.26 [A] resolution, confirming the covalent attachment to the catalytic cysteine of Z34. Notably, two mutually exclusive covalent binding modes were observed: one occupying the substrate-binding pocket and the other the cofactor-binding region. Z34 displayed unexpected binding modes within the active site and holds promise as a lead compound for future drug development. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=184 HEIGHT=200 SRC="FIGDIR/small/738401v1_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@1d9ebd2org.highwire.dtl.DTLVardef@96470org.highwire.dtl.DTLVardef@a110c7org.highwire.dtl.DTLVardef@548a93_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2025

Artificial Intelligence And First Principle Methods In Protein Redesign: A Marriage Of Convenience?

Since AlphaFold2s rise, many deep learning methods for protein design have emerged. Here, we validate widely used and recognized tools, compare them with first-principle methods, and explore their combinations, focusing on their effectiveness in protein redesign and potential for therapeutic repurposing. We address two challenges: evaluating tools and combinations ability to detect the effects of multiple concurrent mutations in protein variants, and leveraging large-scale datasets to compare modeling-free methods, namely force fields, which handle point mutations well with limited backbone rearrangement, and inverse folding tools, which excel at native sequence recovery but may struggle with non-natural proteins. Debuting TriCombine, a tool that identifies residue triangles in input structures, matches them to a structural database, and scores mutants based on substitution frequencies, we shortlisted candidates, modeled them with FoldX, and generated 16 SH3 mutants carrying up to 9 concurrent substitutions. The dataset was expanded to include 36 mutants and 11 crystal structures (7 newly solved), along with a parallel set of multiple non-concurrent mutants from three additional proteins. For broader validation, we analyzed 160,000 four-site GB1 mutants and 163,555 (single and double) variants across 179 natural and de novo domains. We show that combining AI-based modeling tools with force field scoring functions yields the most reliable results. Inverse folding tools perform very well but lose accuracy on less-represented proteins. First-principle force fields like FoldX remain the most accurate for point mutations. All methods perform worse when applied to unsolved de novo models, underscoring the need for hybrid strategies in robust protein design.

bioinformatics↗

bioRxiv2023

Antibodies halting motility in Mycoplasma pneumoniae reveal the dynamic nature of the adhesion complex

Mycoplasma pneumoniae is a bacterial wall-less human pathogen and the etiological agent of atypical pneumonia and tracheobronchitis in both adults and children. M. pneumoniae infectivity, gliding motility and adherence to host target respiratory epithelial cells are mediated by adhesin proteins P1 and P40/P90 forming a transmembrane complex that binds to sialylated oligosaccharides human cell ligands. Here we report the cryo-EM structure of P1 bound to the Fab fragment of monoclonal antibody P1/MCA4, which stops gliding and induces detachment of motile M. pneumoniae cells. On the contrary, polyclonal antibodies generated against the N-domain of P1 or against the whole ectodomain of P40/P90 have little or no effects on adhesion or motility. The epitope of P1/MCA4, centred on loop Thr1426-Asp1438 in the small C-terminal domain of P1, is inaccessible to antibodies in the "open" conformation of the adhesion complex, when ready for attachment to sialylated oligosaccharides. Mutations in the highly conserved Engelman motifs found in the transmembrane helix of P40/P90 also alter adhesion and motility. During the attachment/detachment cycle of the adhesion complex, the C-terminal domain of P1 experiences large conformational rearrangements that are hindered by the antibodies against the domain. Interfering with the gliding of mycoplasma cells suggests new ways to confront M. pneumoniae infections.

molecular biology↗

bioRxiv2022

The immunodominant protein P116 is a passive transporter of cholesterol and other essential lipids

Many human pathogens need to extract lipids from their environment for survival and proliferation. How this is accomplished on a molecular level is largely unknown1. Here, we report a comprehensive structural and functional analysis of the previously uncharacterized protein P116 (MPN_213) from Mycoplasma pneumoniae, a human pathogen responsible for approximately 30% of community-acquired human pneumonia2. Single-particle cryo-electron microscopy of P116 at 3.3 [A] resolution reveals a homodimer with a core domain presenting a previously unseen fold. This fold creates a large cavity of [~]18,000 [A]3 with a hydrophobic internal surface that is accessible to solvent. Within the cavity ligands with a length of 10-19 [A] and a width of 4 [A] could be observed. These ligands were identified as the essential lipids phosphatidylcholine, sphingomyelin and cholesterol using mass spectrometry. When the cavity is emptied, the protein undergoes an extensive conformational change that can no longer accommodate lipids. When emptied P116 is incubated with high-density lipoproteins (HDLs) a net transfer of cholesterol is demonstrated by a radioactivity experiment and cryo-electron microscopy resolves a complex between P116 and HDL. Taken together, our results reveal the mechanism by which P116 extracts essential lipids from the host environment and possibly then delivers them into the membrane by a wringing movement. This mechanism may be precedential for other cholesterol-auxotrophic bacteria.

microbiology↗