Publications by authors named "P Levine"

The development of macrocyclic binders to therapeutic proteins typically relies on large-scale screening methods that are resource-intensive and provide little control over binding mode. Despite considerable progress in physics-based methods for peptide design and deep-learning methods for protein design, there are currently no robust approaches for design of protein-binding macrocycles. Here, we introduce RFpeptides, a denoising diffusion-based pipeline for designing macrocyclic peptide binders against protein targets of interest.

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Importance: The clinical effects of risankizumab (a monoclonal antibody that selectively targets the p19 subunit of IL-23) for the treatment of ulcerative colitis are unknown.

Objective: To evaluate the efficacy and safety of risankizumab when administered as an induction and a maintenance therapy for patients with ulcerative colitis.

Design, Setting, And Participants: Two phase 3 randomized clinical trials were conducted.

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Article Synopsis
  • - We developed a method to create small proteins that can bind strongly to specific molecules, using advanced deep learning techniques to design their shapes based on repeating structural units.
  • - We test these designs by docking various small molecules into the optimal binding sites and then experimentally validate which designs have the highest binding affinity.
  • - Our successful designs include binders for diverse molecules like methotrexate and thyroxine, and we also used our designs to create systems for chemical dimerization and sensitive nanopore sensors that reassemble when a molecule is added.
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Aim: To identify research priorities regarding the effectiveness of interventions for children and young people (CYP) with childhood neurological conditions (CNCs). These include common conditions such as epilepsies and cerebral palsy, as well as many rare conditions.

Method: The National Institute for Health and Care Research (NIHR) and the James Lind Alliance (JLA) champion and facilitate priority setting partnerships (PSPs) between patients, caregivers, and clinicians (stakeholders) to identify the most important unanswered questions for research (uncertainties).

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In natural proteins, structured loops have central roles in molecular recognition, signal transduction and enzyme catalysis. However, because of the intrinsic flexibility and irregularity of loop regions, organizing multiple structured loops at protein functional sites has been very difficult to achieve by de novo protein design. Here we describe a solution to this problem that designs tandem repeat proteins with structured loops (9-14 residues) buttressed by extensive hydrogen bonding interactions.

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