A5021253246- Monoclonal and Polyclonal Antibodies Research
- Biochemical and Structural Characterization
- Advanced Biosensing Techniques and Applications
- Glycosylation and Glycoproteins Research
- vaccines and immunoinformatics approaches
- Protein Structure and Dynamics
- Advanced biosensing and bioanalysis techniques
- Immunotherapy and Immune Responses
- Microbial Metabolic Engineering and Bioproduction
- RNA Interference and Gene Delivery
- Advanced Fluorescence Microscopy Techniques
Massachusetts Institute of Technology
2022-2024
Korea Advanced Institute of Science and Technology
2020
Daejeon University
2020
Government of the Republic of Korea
2020
Protein-protein interactions (PPIs) are at the core of all key biological processes. However, complexity structural features that determine PPIs makes their design challenging. We present BindCraft, an open-source and automated pipeline for
Deep learning in structure prediction has revolutionized protein research, enabling large-scale screening, novel hypothesis generation, and accelerated experimental design across biological domains. Recent advances, including RoseTTAFold-AA AlphaFold3, have extended models to work with small molecules, nucleic acids, ions, covalent modifications. We present BoltzDesign1, which inverts the Boltz-1 model, an open source reproduction of enable binders for diverse molecular targets without...
We demonstrate a novel signal amplification technique that can amplify the intensity of immunofluorescence staining <italic>via</italic> simple cyclic secondary antibodies.
Molecular vaccines comprising antigen peptides and inflammatory cues make up a class of therapeutics that promote immunity against cancer pathogenic diseases but often exhibit limited efficacy. Here, we engineered an peptide delivery system to enhance vaccine efficacy by targeting dendritic cells mediating cytosolic delivery. The consists the nontoxic anthrax protein, protective (PA), single-chain variable fragment (scFv) recognizes XCR1 receptor on (DCs). Combining these proteins enabled...
Phage display is commonly employed for the discovery of high affinity ligands to biomolecular targets. However, ranking discovered their and specificity target obscured by genetic amplification bias target-unrelated phage, resulting in inefficient experimental validation potentially intractable discovery. Here, we describe use indirect machine learning (ML) improve efficient target-specific peptide from next-generation sequencing (NGS) data. We combine sequence information (input) with...
Amplification of immunofluorescence (IF) signals is becoming increasingly critical in cancer research and neuroscience. Recently, we put forward a new signal amplification technique, which termed fluorescent via cyclic staining target molecules (FRACTAL). FRACTAL amplifies IF by repeatedly labeling proteins with pair secondary antibodies that bind to each other. However, simultaneous multiple has not yet been demonstrated because cross-reactivity between the antibodies. In this study, show...
Generative protein modeling provides advanced tools for designing diverse sequences and structures. However, accurately the conformational landscape sequences-ensuring that designed sequence folds into target structure as its most stable structure-remains a critical challenge. In this study, we present systematic analysis of jointly optimizing P(structure|sequence) P(sequence|structure), which enables us to find optimal solutions landscape. We support approach with experimental evidence...