Biology subjects

Ishitani, R.

Publications and source records attributed to Ishitani, R..

10 recordsLinked to original sources

bioRxiv2026

RGI-Toolkit: Differentiable Restraints for Controllable Biomolecular Structure Prediction

Diffusion-based models have substantially advanced biomolecular structure prediction. Within this framework, restraint-guided inference (RGI) corrects the denoiser output at each reverse-diffusion step using a differentiable restraint loss, allowing available experimental information, stereochemical requirements, or a specified target conformational state to be incorporated into predictions without retraining the model. Here, we present RGI-Toolkit, a general-purpose Python library that makes RGI available for a range of structure predictors. The toolkit consolidates restraint definition, atom selection, loss evaluation, and coordinate optimization into a shared, backend-agnostic engine, limiting predictor-specific code to a thin preprocessing adapter and a single hook in the denoising loop. Restraints on distances, angles, and dihedrals, on deviations from reference structures, and on user-defined reaction coordinates, together with ligand conformer restraints, are all specified in a common configuration format. The toolkit currently supports six predictors, including AlphaFold3. Across all six predictors, conformer restraints eliminated chirality and cis/trans errors in the predicted ligands and improved their local geometry, while geometric and custom restraints systematically shifted the sampled protein conformations toward the specified target states. RGI-Toolkit thus provides a unified framework for integrating experimental information and prior geometric knowledge into structure prediction and for generating biomolecular structures with specified conformational and stereochemical properties.

bioinformatics↗

bioRxiv2026

Distance-Restraint-Guided Diffusion Models for Sampling Protein Conformational Changes and Ligand Dissociation Pathways

Protein conformational dynamics and ligand binding processes are fundamental to biological function, yet their systematic sampling and thermodynamic characterization remain challenging. Here, we present a distance-restraint-guided inference method that extends AlphaFold3-like diffusion model frameworks to predict protein structures at specified conformational states. By restraining intergroup distances defined as center-of-mass distances between atom groups during the reverse diffusion process, our method enables systematic sampling along reaction coordinates without model retraining. We implemented this approach in Boltz-2 and demonstrated its effectiveness on three model proteins that undergo open-closed conformational transitions, as well as on a protein-peptide dissociation pathway. Compared with conventional approaches that induce conformational diversity by manipulating input multiple sequence alignments, our method achieved more uniform coverage of conformational space while maintaining high structural quality as assessed by both learning-based confidence metrics and stereochemistry-based validation. By combining distance-restrained sampling with molecular dynamics simulations, we constructed free energy landscapes and quantitatively estimated binding free energies. Altogether, our approach bridges deep learning-based structure prediction and physics-based simulations, providing an efficient strategy for characterizing the dynamics of biomolecules. The materials supporting this article, including the source code and Colab notebook are available at github (https://github.com/cddlab/boltz_restr).

biophysics↗

bioRxiv2025

Structural basis of lipid-mediated gating in a two-pore domain potassium channel

TOK1 is the first identified member of the K2P channel family and contains additional N- and C-terminal domains, displaying a configuration distinct from that of canonical K2P channels. Although recent advances in structural studies of K2P channels have elucidated their architectures, the structural basis of TOK1 has remained unknown, limiting our understanding of its unique configuration. Here, we present the cryo-electron microscopy (cryo-EM) structure of TOK1, unveiling its distinctive domain architecture. Furthermore, the structures of TOK1 in three distinct states provide mechanistic insights into its regulation through lipid binding and dissociation. Phosphorylation of TOK1 induces the formation of an additional lipid-binding site, leading to channel inactivation. Conversely, upon activation, the phospholipid dissociates, allowing ion permeation. Our comprehensive study, integrating cryo-EM structural analysis, molecular dynamics simulations, electrophysiological recordings, and mass spectrometry, elucidates the distinctive features of TOK1, an atypical K2P channel, and provides a framework for understanding lipid-mediated regulation within this family.

molecular biology↗

bioRxiv2025

Predicting protein complexes in biosynthetic gene clusters

Biosynthetic gene clusters (BGCs) are contiguous genomic regions that encode diverse proteins responsible for natural product biosynthesis. These proteins collectively produce various secondary metabolites with complex chemical structure, including antibiotics and mycotoxins, yet the complete biosynthetic pathways have been experimentally resolved for only a limited number of compounds. Protein-protein interactions within BGCs have recently been recognized as key determinants of intermediate transfer, enzymatic regulation, and structural stability. However, many BGCs still contain proteins of unknown function that cannot be predicted by conventional sequence-based bioinformatics tools, hindering a comprehensive understanding of their biosynthetic pathways. To address this challenge, we built a high-throughput complex prediction pipeline by replacing AlphaFold3s multiple sequence alignment generation with a faster MMSeqs2. We systematically screened 487,828 protein pairs derived from 2,437 BGCs registered in the Minimum Information about a Biosynthetic Gene cluster (MIBiG) database and predicted 15,438 heteromeric interactions with an ipTM [≥] 0.6. Among them, 1,390 protein pairs exhibited structural homology with an RMSD [≤] 2.0 [A]. These predictions highlight interesting molecular mechanisms involving proteins previously annotated as "uncharacterized" or "potentially dysfunctional". Our analysis further showed that the ipSAE metric can distinguish correct heterocomplex pairs when multiple functionally homologous proteins are present within a BGC. Overall, our computational analysis revealed molecular interaction networks among proteins encoded by each BGC and identified enzyme complexes that are likely functional only when assembled. These predicted complexes may represent previously unrecognized links in their biosynthetic pathways. The complete results are available in a reusable format at https://doi.org/10.5281/zenodo.17451667 to support future experimental validation.

bioinformatics↗

bioRxiv2025

Multi-objective optimization for designing structurally similar proteins with diverse sequences

Recent advances in artificial intelligence technologies have accelerated the development of computational protein design techniques. Although the structure of the designed proteins has been the primary focus, diversity of designed amino acid sequences is another important aspect of protein design. To address the trade-off between reducing sequence similarity and improving structural similarity, simultaneous optimization of these two objectives can be effective. We present a method that integrates ProteinMPNN with the multi-objective optimization algorithm NSGA-II to design proteins that retain high structural similarity to a target while exhibiting low sequence similarity. Using Top7 as a reference protein, we demonstrate that our approach improves sequence diversity compared to the original ProteinMPNN while maintaining comparable structural similarity.

bioinformatics↗

bioRxiv2025

Improving Stereochemical Limitations in Protein-Ligand Complex Structure Prediction

AlphaFold3 has revolutionized biology by enabling the prediction of protein complexes with various biomolecules, including small molecular ligands. However, the ligand structures predicted by the model often contain stereochemical errors. In this study, our comprehensive evaluation of AlphaFold3 and its clone model, Boltz-1, demonstrated significant limitations in ligand stereochemistry of their predicted structures, including chirality, bond, and angle geometries. To address the issue, we developed the restraint-guided inference method that applies stereochemical restraints during the reverse diffusion process. This approach perfectly reproduces the chirality specified in the input chemical structure and improves bond and angle geometries of ligands, while maintaining comparable performance in binding pose prediction. Our method provides a practical solution to the stereochemical errors in predicting protein-ligand complexes, thereby enhancing applications of structure prediction in structural biology and drug discovery.

bioinformatics↗

bioRxiv2019

Cryo-EM structure of the human L-type amino acid transporter 1 in complex with glycoprotein CD98hc

The L-type amino acid transporter 1 (LAT1) transports large neutral amino acids and drugs across the plasma membrane and is crucial for nutrient uptake, brain drug delivery and tumor growth. LAT1 is a unique solute carrier that forms a disulfide-linked heterodimer with the cell-surface glycoprotein CD98 heavy chain (CD98hc), but the mechanisms of its molecular assembly and amino acid transport are poorly understood. Here we report the cryo-EM structure of the human LAT1-CD98hc heterodimer at 3.4 [A] resolution, revealing the hitherto unprecedented architecture of a solute carrier-glycoprotein heterocomplex. LAT1 features a canonical LeuT-fold while exhibiting an unusual loop structure on transmembrane helix 6, creating an extended cavity to accommodate bulky hydrophobic amino acids and drugs. CD98hc engages with LAT1 through multiple interactions, not only in the extracellular and transmembrane domains but also in the interdomain linker. The heterodimer interface features multiple sterol molecules, corroborating previous biochemical data on the role of cholesterols in heterodimer stabilization. We also visualized the binding modes of two anti-CD98 antibodies and show that they recognize distinct, multiple epitopes on CD98hc but not its glycans, explaining their robust reactivities despite the glycan heterogeneity. Furthermore, we mapped disease-causing mutations onto the structure and homology models, which rationalized some of the phenotypes of SLC3- and SLC7-related congenital disorders. Together, these results shed light on the principles of the structural assembly between a glycoprotein and a solute carrier, and provide a template for improving preclinical drugs and therapeutic antibodies targeting LAT1 and CD98.

biochemistry↗

bioRxiv2018

Cryo-EM structure of the volume-regulated anion channel LRRC8

Maintenance of cell volume against osmotic change is crucial for proper cell functions, such as cell proliferation and migration. The leucine-rich repeat-containing 8 (LRRC8) proteins are anion selective channels, and were recently identified as pore components of the volume-regulated anion channels (VRACs), which extrude anions to decrease the cell volume upon cell-swelling. Here, we present the human LRRC8A structure, determined by a single-particle cryo-electron microscopy analysis. The sea anemone-like structure represents a trimer of dimers assembly, rather than a symmetrical hexameric assembly. The four-spanning transmembrane region has a gap junction channel-like membrane topology, while the LRR region containing 15 leucine-rich repeats forms a long twisted arc. The channel pore is along the central axis and constricted on the extracellular side, where the highly conserved polar and charged residues at the tip of the extracellular helix contribute to the anion and other osmolyte permeability. Comparing the two structural populations facilitated the identification of both compact and relaxed conformations, suggesting that the LRR region is flexible and mobile with rigid-body motions, which might be implicated in structural transitions upon pore opening. Overall, our structure provides a framework for understanding the molecular mechanisms of this unique class of ion channels.

molecular biology↗

bioRxiv2017

Free energy landscape for the entire transport cycle of triose-phosphate/phosphate translocator

Secondary active transporters translocate their substrates using the electrochemical potentials of other chemicals, undergoing large-scale conformational changes. Despite extensive structural studies, the atomic details of the transport mechanism still remain elusive. Here we performed a series of all-atom molecular dynamics simulations of the triose-phosphate/phosphate translocator (TPT), which exports organic phosphates in the chloroplast stroma in strict counter exchange with inorganic phosphate (Pi). Biased sampling methods, including string method and umbrella sampling, successfully reproduced the conformational changes between the inward- and outward-facing states, along with the substrate binding. The free energy landscape of this entire TPT transition pathway demonstrated the alternating access and substrate translocation mechanisms, which revealed Pi is relayed by positively charged residues along the transition pathway. Furthermore, the conserved Glu207 functions as a \"molecular switch\", linking the local substrate binding and the global conformational transition. Our results provide atomic-detailed insights into the energy coupling mechanism of antiporter.

biophysics↗

bioRxiv2017

Structure of the triose-phosphate/phosphate translocator reveals the basis of substrate specificity

The triose-phosphate/phosphate translocator (TPT) catalyzes the strict 1:1 exchange of triose phosphate, 3-phosphoglycerate and inorganic phosphate across the chloroplast envelope, and plays crucial roles in photosynthesis. Despite rigorous studies for more than 40 years, the molecular mechanism of TPT is poorly understood due to the lack of structural information. Here we report crystal structures of TPT bound to two different substrates, 3-phosphoglycerate and inorganic phosphate, in occluded conformations. The structures reveal that TPT adopts a 10-transmembrane drug/metabolite transporter fold. Both substrates are bound within the same central pocket, where conserved lysine, arginine, and tyrosine residues recognize the shared phosphate group. A structural comparison with the outward-open conformation of the bacterial drug/metabolite transporter suggests a rocking-type motion of helix bundles, and molecular dynamics simulations support a model in which this helix rocking is tightly coupled to the substrate binding, to ensure strict 1:1 exchange. These results reveal the unique mechanism of sugar phosphate/phosphate exchange by TPT.

biochemistry↗