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Globally, there are 15 million stroke patients each year who have significant neurological deficits. Today, there are no treatments that directly address these deficits. With demographics shifting to an older population, the problem is worsening.

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Current strategies centred on either merging or linking initial hits from fragment-based drug design (FBDD) crystallographic screens generally do not fully leaverage 3D structural information. We show that an algorithmic approach (Fragmenstein) that 'stitches' the ligand atoms from this structural information together can provide more accurate and reliable predictions for protein-ligand complex conformation than general methods such as pharmacophore-constrained docking. This approach works under the assumption of conserved binding: when a larger molecule is designed containing the initial fragment hit, the common substructure between the two will adopt the same binding mode.

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Context: In 2020, the allopathic and osteopathic residency programs were merged into a single residency system, with the Accreditation Council for Graduate Medical Education (ACGME) as the sole accreditor for residencies and fellowships in the United States. As a result of this merger, osteopathic recognition (OR) emerged as a unique approach to promoting osteopathic training and practice. However, there is a lack of data on the effects of OR in residency, specifically university-based residency programs.

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Article Synopsis
  • The Pakistani pharmaceutical industry is experiencing significant changes, with national firms gaining a larger market share (74.51%) compared to multinational corporations (25.49%).
  • MNCs are facing challenges, including tough competition from local companies and ongoing mergers and acquisitions, which impact their ability to expand operations in the country.
  • The recent deregulation of prices for non-essential medicines by the federal government may encourage MNCs to invest in new technologies and infrastructure, essential for maintaining their market presence and improving operational efficiency.
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