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Synergizing quantum techniques with machine learning for advancing drug discovery challenge.
Sci Rep
December 2024
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, 46556, USA.
The Quantum Computing for Drug Discovery Challenge, held at the 42nd International Conference on Computer-Aided Design (ICCAD) in 2023, was a multi-month, research-intensive competition. Over 70 teams from more than 65 organizations from 12 different countries registered, focusing on the use of quantum computing for drug discovery. The challenge centered on designing algorithms to accurately estimate the ground state energy of molecules, specifically OH+, using quantum computing techniques.
View Article and Find Full Text PDF"Chasing Rainbows" Beyond Kaposi Sarcoma's Dermoscopy: A Mini-Review.
Dermatopathology (Basel)
November 2024
Second Dermatology Department, School of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.
The dermoscopic rainbow pattern (RP), also known as polychromatic pattern, is characterized by a multicolored appearance, resulting from the dispersion of polarized light as it penetrates various tissue components. Its separation into different wavelengths occurs according to the physics principles of scattering, absorption, and interference of light, creating the optical effect of RP. Even though the RP is regarded as a highly specific dermoscopic indicator of Kaposi's sarcoma, in the medical literature, it has also been documented as an atypical dermoscopic finding of other non-Kaposi skin entities.
View Article and Find Full Text PDFThe Professional Identity of STEM Faculty as Instructors of Course-based Research Experiences.
Front Educ (Lausanne)
October 2024
Center for the Advancement of Science Leadership and Culture, Howard Hughes Medical Institute, Chevy Chase, MD.
The professional identity of scientists has historically been cultivated to value research over teaching, which can undermine initiatives that aim to reform science education. Course-Based Research Experiences (CRE) and the inclusive Research and Education Communities (iREC) are two successful and impactful reform efforts that integrate research and teaching. The aim of this study is to explicate the professional identity of instructors who implement a CRE within an established iREC and to explore how this identity contributes to the success of these programs.
View Article and Find Full Text PDFAn inclusive Research Education Community (iREC) Model to Facilitate Undergraduate Science Education Reform.
Front Educ (Lausanne)
August 2024
Center for the Advancement of Science Leadership and Culture, Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA.
Article Synopsis
- Over two decades, initiatives have aimed to enhance STEM undergraduate outcomes, with the inclusive Research Education Community (iREC) emerging as a scalable reform model that supports STEM faculty in implementing course-based research to improve student learning.
- This study utilized pathway modeling to describe the HHMI Science Education Alliance (SEA) iREC, identifying how faculty engagement leads to sustainable adoption and improvement of new teaching strategies through feedback from over 100 participating faculty members.
- The findings indicate that iREC fosters a collaborative environment where STEM faculty can share expertise and data, thereby enhancing their teaching practices and contributing to the overall evolution of undergraduate science education.
Conservation of function without conservation of amino acid sequence in intrinsically disordered transcriptional activation domains.
bioRxiv
December 2024
Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, 94720.
Protein function is canonically believed to be more conserved than amino acid sequence, but this idea is only well supported in folded domains, where highly diverged sequences can fold into equivalent 3D structures. In contrast, intrinsically disordered protein regions (IDRs) do not fold into a stable 3D structure, thus it remains unknown when and how function is conserved for IDRs that experience rapid amino acid sequence divergence. As a model system for studying the evolution of IDRs, we examined transcriptional activation domains, the regions of transcription factors that bind to coactivator complexes.
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