#OPENACCESS: Transient pores in hemifusion diaphragms. Russell K.W. Spencer, Yuliya G. Smirnova, Alireza Soleimani, and Marcus Müller. ow.ly/BZpt50T2a4L

In the New and Notable "After the gold rush: Getting far from the shallow in studying asymmetric membranes," Pabst and Heerklotz highlight the paper "Effect of leaflet asymmetry on the stretching elasticity of lipid bilayers with phosphatidic acid." ow.ly/xsbP50T2ajH

#OPENACCESS: Impact of trypsin on cell cytoplasm during detachment of cells studied by terahertz sensing. Blandine Lordon, Tiffany Campion, Laure Gibot, and Guilhem Gallot. ow.ly/XH7h50T2ayN

#OPENACCESS: Time-resolved fluorescence of tryptophan characterizes membrane perturbation by cyclic lipopeptides. Iulia Carabadjac, Jessica Steigenberger et al. ow.ly/Z2jE50T2aJA

In the New and Notable "Locking hERG channels into place: Using photoreactive unnatural amino acids to study...," Miller and Carlson highlight the paper "Photoinhibition of the hERG potassium channel PAS domain by ultraviolet light speeds channel closing." ow.ly/paRA50T2aZf

New study combines artificial intelligence and machine learning algorithms with large-scale simulations to model the first full-length CRaf kinase, revealing insight into its intramolecular interactions, regulatory dynamics, and recruitment pathways. ow.ly/O6zb50T2bbM

#OPENACCESS: Conformational rigidity of cytochrome c'-α from a thermophile is associated with slow NO binding. Sotaro Fujii and Michael T. Wilson et al. ow.ly/k4j050T2bvB

Special issue call for papers: Materials and Measurement in Mechanobiology. ow.ly/1VBw50SKcb1

Check out the newly released issue of Biophysical Journal! ow.ly/Gxph50TemoZ

Special issue call for papers: Materials and Measurement in Mechanobiology. ow.ly/1VBw50SKcb1

#OPENACCESS: Deep-LASI, single-molecule data analysis software. Pooyeh Asadiatouei, Clemens-Bässem Salem, Simon Wanninger, Evelyn Ploetz, and Don C. Lamb. ow.ly/prYI50Tenzy

Leveraging AI for mechanobiology: Abarca-Ortega et al. introduce a neural-network-based code for automated, unbiased analysis of micropipette-aspiration experiments, enabling large-scale studies and real-time measurements. ow.ly/8UKK50TenKu

This rigorous review details the advancements in the field of RNA structure prediction, including model building strategies, challenges involved in predicting the RNA structures, and approaches to the challenges. cell.com/biophysj/fullt…

#OPENACCESS: Interpreting forces as deep learning gradients improves quality of predicted protein structures. Jonathan Edward King and David Ryan Koes. ow.ly/kVaa50Teoyk

New study shows how machine learning can enhance phase identification of lipid bilayers in cryo-EM images, advancing our understanding of nanoscopic membrane heterogeneities and lipid raft properties. ow.ly/5J2z50TernC

Special issue call for papers: Advances in Mechanotransduction, Dedicated to Frederick Sachs. ow.ly/o4lH50T54TP

Barcenas et al. use modeling and single-cell transcriptomics to study tipping points in cell fate transitions, when cells commit to new cell states, revealing changes in transcriptional dynamics during processes like epithelial-mesenchymal transition. ow.ly/s7oC50TetFm

Special issue call for papers: Challenges in Biomolecular Simulations. ow.ly/tFIR50T57jM

AI is the talk of the town. Read on to find out the current state of AI in the field of biophysics, focusing on cellular engineering and reprogramming, where authors have discussed the challenges and prospects of AI in the field. ow.ly/Ngk950TerKp

#OPENACCESS: Bound ion effects: Using machine learning method to study the kinesin Ncd’s binding with microtubule. Wenhan Guo, Dan Du, Houfang Zhang, Jason E. Sanchez, Shengjie Sun, Wang Xu, Yunhui Peng, and Lin Li. ow.ly/VkJM50Tes7g