Caution when using network partners for target identification in drug discovery by Dandan Tan, Yiheng Chen, Yann Ilboudo, Kevin Y.H. Liang, Guillaume Butler-Laporte, J. Brent Richards

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PhyIndBC: Development of a machine learning tool for screening of potential breast cancer inhibitors from phytochemicalsGitHub by Agneesh Pratim Das, Subhash M. Agarwal

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Barlow Twins deep neural network for advanced 1D drug–target interaction prediction by Maximilian G. Schuh, Davide Boldini, Annkathrin I. Bohne, Stephan A. Sieber

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A split intein and split luciferase-coupled system for detecting protein-protein interactions by Zhong Yao, Jiyoon Kim, Betty Geng, Jinkun Chen, Victoria Wong, Anna Lyakisheva, Jamie Snider, Marina Rudan Dimlić, Sanda Raić, Igor Stagljar

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Harnessing the power of seaweed: unveiling the potential of marine algae in drug discovery by Leonel Pereira, Ana Valado

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A patient-derived HCC spheroid system to model the tumor microenvironment and treatment response by Emilie Crouchet, Nuno Almeida, Sarah C. Durand, Marie Parnot, Marine A. Oudot, Fabio Giannone, Cloé Gadenne, Natascha Roehlen, Antonio Saviano, Emanuele Felli, Patrick Pessaux, Hong Tuan Duong, Hideki Ohdan, Hiroshi Aikata, Kazuaki Chayama, Thomas F. Baumert, Catherine Schuster

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Structural bioinformatics for rational drug design by Soroush Mozaffari, Agnethe Moen, Che Yee Ng, Gerry A.F. Nicolaes, Kanin Wichapong

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New strategies to enhance the efficiency and precision of drug discovery by Qi An, Liang Huang, Chuan Wang, Dongmei Wang, Yalan Tu

Subjects: “…drug discovery…”
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Improving drug repositioning with negative data labeling using large language models by Milan Picard, Mickael Leclercq, Antoine Bodein, Marie Pier Scott-Boyer, Olivier Perin, Arnaud Droit

Subjects: “…AI-driven drug discovery…”
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