In Silico discovery of GES-5 inhibitors via molecular docking, molecular dynamics simulation studies, and ADMET predictionGhatesse, M., Charoute, H., Raoufi, A., Tabouktirt, Y., Irahal, I. N., Hmimid, F., Kabine, M., Bourhim, N., & Zouheir, Y. How proteins and molecules interact is like a giant puzzle that many scientists are trying to solve. So far, scientistsContinueContinue reading “Computers Help Scientists Complete the Molecular Puzzle”
Author Archives: Kerenza Cheng
What’s Powering the Powerhouse? Machine Learning Meets Mitochondria
Deep Analysis of Mitochondria and Cell Health Using Machine Learning Atena Zahedi 1,3, Vincent On 2, Rattapol Phandthong 3, Angela Chaili 3, Guadalupe Remark 3, Bir Bhanu 1,2,4, Prue Talbot 1,3,✉ Mitochondria are often called the “powerhouse of the cell”, but in reality, they are much more than tiny batteries. These dynamic structures produce ATP – the energetic currency of the cell, respond to stress and can influenceContinueContinue reading “What’s Powering the Powerhouse? Machine Learning Meets Mitochondria”
One Step Ahead: Predicting Bacteria’s Next Move In the Arm’s Race.
A Bacterial Immunity Machine Learning System Peter C. DeWeirdt, Emily M. Mahoney, Michael T. Laub Bacteria, like humans, can get sick. Bacteriophages, viruses that specifically target bacteria, infect a variety of bacterial species. After many years of fighting viral infections, the bacteria evolved ways to fight back by making their own defense systems. Over theContinueContinue reading “One Step Ahead: Predicting Bacteria’s Next Move In the Arm’s Race.”
Scientists Create Algorithm that Learns To Identify Patterns in Cells
Cell-DINO: Self-supervised image-based embeddings for cell fluorescent microscopy Théo Moutakanni,Camille Couprie,Seungeun Yi,Michael Doron,Zitong S. Chen,Nikita Moshkov,Elouan Gardes,Mathilde Caron,Hugo Touvron,Armand Joulin,Piotr Bojanowski,Wolfgang M. Pernice,Juan C. Caicedo Microscopy is a powerful way to study what’s happening inside cells, but researchers often collect hundreds or thousands of images. This large volume of data makes it incredibly difficult toContinueContinue reading “Scientists Create Algorithm that Learns To Identify Patterns in Cells”
Neurons to Network: Scientists Upload a Fly’s Brain
A Drosophila computational brain model reveals sensorimotor processing Philip K. Shiu, Gabriella R. Sterne, Nico Spiller, Romain Franconville, Andrea Sandoval, Joie Zhou, Neha Simha, Chan Hyuk Kang, Seongbong Yu, Jinseop S. Kim, Sven Dorkenwald, Arie Matsliah, Philipp Schlegel, Szi-chieh Yu, Claire E. McKellar, Amy Sterling, Marta Costa, Katharina Eichler, Alexander Shakeel Bates, Nils Eckstein, JanContinueContinue reading “Neurons to Network: Scientists Upload a Fly’s Brain”