Results 21 to 30 of about 9,762,259 (268)

The cytotoxic conjugate of highly internalizing tetravalent antibody for targeting FGFR1-overproducing cancer cells

Molecular Medicine, 2021
Background Antibody drug conjugates (ADCs) represent one of the most promising approaches in the current immuno-oncology research. The precise delivery of cytotoxic drugs to the cancer cells using ADCs specific for tumor-associated antigens enables ...
Marta Poźniak, Natalia Porębska, Mateusz Adam Krzyścik, Aleksandra Sokołowska-Wędzina, Kamil Jastrzębski, Martyna Sochacka, Jakub Szymczyk, Małgorzata Zakrzewska, Jacek Otlewski, Łukasz Opaliński   +9 more
doaj   +1 more source

Machine learning to navigate fitness landscapes for protein engineering

Current Opinion in Biotechnology, 2022
Machine learning (ML) is revolutionizing our ability to understand and predict the complex relationships between protein sequence, structure, and function.
Chase R. Freschlin, Sarah A. Fahlberg, Philip A. Romero   +2 more
semanticscholar   +1 more source

In vivo pharmacokinetic enhancement of monomeric Fc and monovalent bispecific designs through structural guidance

Communications Biology, 2021
Lu Shan et al. present a structure-guided approach to engineer a monovalent form of the fragment crystallizable (Fc) region of an IgG4 antibody to adapt multiple versions of half-life extension modifications and bispecific targeting.
Lu Shan, Nydia Van Dyk, Nantaporn Haskins, Kimberly M. Cook, Kim L. Rosenthal, Ronit Mazor, Sonia Dragulin-Otto, Yu Jiang, Herren Wu, William F. Dall’Acqua, Martin J. Borrok, Melissa M. Damschroder, Vaheh Oganesyan   +12 more
doaj   +1 more source

A Bivalent COVID-19 Vaccine Based on Alpha and Beta Variants Elicits Potent and Broad Immune Responses in Mice against SARS-CoV-2 Variants

Vaccines, 2022
With the emergence and rapid spread of new pandemic variants, especially variants of concern (VOCs), the development of next-generation vaccines with broad-spectrum neutralizing activities is of great importance.
Rui Wang, Chunyun Sun, Juan Ma, Chulin Yu, Desheng Kong, Meng Chen, Xuejie Liu, Dandan Zhao, Shuman Gao, Shuyuan Kou, Lili Sun, Zeyong Ge, Jun Zhao, Kuokuo Li, Tao Zhang, Yanjing Zhang, Chunxia Luo, Xuefeng Li, Yang Wang, Liangzhi Xie   +19 more
doaj   +1 more source

ECNet is an evolutionary context-integrated deep learning framework for protein engineering

Nature Communications, 2021
Machine learning has been increasingly used for protein engineering. However, because the general sequence contexts they capture are not specific to the protein being engineered, the accuracy of existing machine learning algorithms is rather limited ...
Yu-Nan Luo, Guangde Jiang, Tian-Hao Yu, Yang Liu, Lam Vo, Hantian Ding, Yufeng Su, Wesley Wei Qian, Hui-Min Zhao, Jian Peng   +9 more
semanticscholar   +1 more source

FGF12 is a novel component of the nucleolar NOLC1/TCOF1 ribosome biogenesis complex

Cell Communication and Signaling, 2022
Among the FGF proteins, the least characterized superfamily is the group of fibroblast growth factor homologous factors (FHFs). To date, the main role of FHFs has been primarily seen in the modulation of voltage-gated ion channels, but a full picture of ...
Martyna Sochacka, Radoslaw Karelus, Lukasz Opalinski, Daniel Krowarsch, Martyna Biadun, Jacek Otlewski, Malgorzata Zakrzewska   +6 more
doaj   +1 more source

Persistent spectral theory-guided protein engineering

bioRxiv, 2022
While protein engineering, which iteratively optimizes protein fitness by screening the gigantic mutational space, is constrained by experimental capacity, various machine learning models have substantially expedited protein engineering.
Yuchi Qiu, Guo-Wei Wei
semanticscholar   +1 more source

Identification of a novel peptide ligand for the cancer-specific receptor mutation EGFRvIII using high-throughput sequencing of phage-selected peptides

Scientific Reports, 2022
We report here the selection and characterization of a novel peptide ligand using phage display targeted against the cancer-specific epidermal growth factor tyrosine kinase receptor mutation variant III (EGFRvIII).
Sourour Mansour, Indranil Adhya, Coralie Lebleu, Rama Dumpati, Ahmed Rehan, Santu Chall, Jingqi Dai, Gauthier Errasti, Thomas Delacroix, Raj Chakrabarti   +9 more
doaj   +1 more source

FHF1 is a bona fide fibroblast growth factor that activates cellular signaling in FGFR-dependent manner

Cell Communication and Signaling, 2020
Fibroblast growth factors (FGFs) via their receptors (FGFRs) transduce signals from the extracellular space to the cell interior, modulating pivotal cellular processes such as cell proliferation, motility, metabolism and death. FGF superfamily includes a
Martyna Sochacka, Lukasz Opalinski, Jakub Szymczyk, Marta B. Zimoch, Aleksandra Czyrek, Daniel Krowarsch, Jacek Otlewski, Malgorzata Zakrzewska   +7 more
doaj   +1 more source

Publisher Correction: A machine learning approach for reliable prediction of amino acid interactions and its application in the directed evolution of enantioselective enzymes

Scientific Reports, 2021
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Frédéric Cadet, Nicolas Fontaine, Guangyue Li, Joaquin Sanchis, Matthieu Ng Fuk Chong, Rudy Pandjaitan, Iyanar Vetrivel, Bernard Offmann, Manfred T. Reetz   +8 more
doaj   +1 more source