James Collins

Nov 21, 2024 | nature.com | Tao Shen |Siqi Sun |Di Liu |Jiuming Wang |Jin Xiao |Sheng Wang | +2 more

AbstractAccurate prediction of RNA three-dimensional (3D) structures remains an unsolved challenge. Determining RNA 3D structures is crucial for understanding their functions and informing RNA-targeting drug development and synthetic biology design. The structural flexibility of RNA, which leads to the scarcity of experimentally determined data, complicates computational prediction efforts.

Oct 2, 2024 | saturdayeveningpost.com | James Collins

—From “Who Will Do Our Dirty Work Now?” by James H. Collins, in the September 6, 1924, issue of The Saturday Evening PostYou can go into any little shop today and find a small power-driven machine that does the muscle work of four or five men. There are innumerable machines of that kind, with new ones constantly being invented. The farmer has similar machines, and so has the housewife.

Aug 13, 2024 | bjh.be | James Collins

August 2024 Clinical trials James Collins Currently available treatments for low-risk myelodysplastic syndrome (LR-MDS) have limitations, and many patients often become red blood cell transfusion dependent.1 In turn, these transfusions negatively impact progression-free survival (PFS) and OS in these patients, highlighting the urgent need for improved therapies that are transfusion-independent. Imetelstat, a first-in-class direct and competitive inhibitor of telomerase enzymatic activity, was...

Jul 12, 2024 | biorxiv.org | Lu Zhao |George Wendt |James Collins

AbstractSchistosomes are blood-dwelling parasitic flatworms that rely on a syncytial surface coat, known as the tegument, for long-term survival and immune evasion in the blood of their human hosts. Previous studies have shown that cells within the tegumental syncytium are perpetually turned over and renewed by somatic stem cells called neoblasts. Yet, little is known about this renewal process on a molecular level.

Feb 25, 2024 | nature.com | James Collins

AbstractArtificial intelligence (AI) and machine learning (ML) models are being deployed in many domains of society and have recently reached the field of drug discovery. Given the increasing prevalence of antimicrobial resistance, as well as the challenges intrinsic to antibiotic development, there is an urgent need to accelerate the design of new antimicrobial therapies.