Zobrazeno 1 - 10
of 472
pro vyhledávání: '"Devlina"'
Autor:
Devlina Chakravarty, Joseph W. Schafer, Ethan A. Chen, Joseph F. Thole, Leslie A. Ronish, Myeongsang Lee, Lauren L. Porter
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Recent work suggests that AlphaFold (AF)–a deep learning-based model that can accurately infer protein structure from sequence–may discern important features of folded protein energy landscapes, defined by the diversity and frequency of
Externí odkaz:
https://doaj.org/article/7b3f673b8890490baeb8156a9bc56344
Autor:
Devlina Ghosh, Brandon W. Peterson, Cees de Waal, Joop de Vries, Hans Kaper, Guangyue Zu, Max Witjes, Patrick van Rijn
Publikováno v:
Materials & Design, Vol 238, Iss , Pp 112689- (2024)
Implant associated infections are a serious threat to the well-being of patients, which can be mitigated by taking effective disinfection/sterilization (D/S) methods into account. Nanogels (nGel) are stimuli sensitive polymeric hydrogel particles, wh
Externí odkaz:
https://doaj.org/article/ac91258581454aeaad87a01dd027628a
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-16 (2023)
Abstract Although homologous protein sequences are expected to adopt similar structures, some amino acid substitutions can interconvert α-helices and β-sheets. Such fold switching may have occurred over evolutionary history, but supporting evidence
Externí odkaz:
https://doaj.org/article/faaa7ba8e37048b58bc55e7c57669d53
Autor:
Devlina Ghosh, Damla Keskin, Abigail M. Forson, Colin W. K. Rosman, Reinier Bron, Clio M. Siebenmorgen, Guangyue Zu, Alessia Lasorsa, Patrick C. A Van Der Wel, Theo G. Van Kooten, Max J. H. Witjes, Jelmer Sjollema, Henny C. Van Der Mei, Patrick Van Rijn
Publikováno v:
Advanced NanoBiomed Research, Vol 3, Iss 7, Pp n/a-n/a (2023)
Coatings are essential for biomedical applications antifouling and antimicrobial properties, supporting cell adhesion and tissue integration and particularly interesting in this field are nanogel (nGel)‐based coatings. Since biomaterials differ in
Externí odkaz:
https://doaj.org/article/ca1c80fa322547328849d3b4476bd4a5
Publikováno v:
Frontiers in Molecular Biosciences, Vol 10 (2023)
Externí odkaz:
https://doaj.org/article/d251288f53fa4a1fb14a07002f98d314
Publikováno v:
Exploration of Immunology, Vol 1, Iss 5, Pp 440-460 (2021)
The coronavirus disease 2019 (COVID-19) results from the infection of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and primarily affects the respiratory tissue. Since first reported from Wuhan, China in December 2019, the virus has re
Externí odkaz:
https://doaj.org/article/7e4a5c9c8e4f428da8695b4db6802d25
In recent years, advances in artificial intelligence (AI) have transformed structural biology, particularly protein structure prediction. Though AI-based methods, such as AlphaFold (AF), often predict single conformations of proteins with high accura
Externí odkaz:
http://arxiv.org/abs/2410.14898
Publikováno v:
IIMB Management Review, Vol 32, Iss 2, Pp 153-165 (2020)
Abnormal excess returns are often used to measure the profitability of analyst recommendations. We study the liquidity of recommended strategies, by modelling the time to payoff. Using an event study methodology, we find that target prices are reache
Externí odkaz:
https://doaj.org/article/ca2569d5d31f482eb229c06b0d25b653
Autor:
Jonathan P. Ling, Christopher Wilks, Rone Charles, Patrick J. Leavey, Devlina Ghosh, Lizhi Jiang, Clayton P. Santiago, Bo Pang, Anand Venkataraman, Brian S. Clark, Abhinav Nellore, Ben Langmead, Seth Blackshaw
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
The increasing amount of raw RNA-seq data calls for new computational methods to mine information. Here, the authors present ASCOT, a computational resource to identify splice variants in RNA-seq data, and apply it to splicing patterns in neurons and
Externí odkaz:
https://doaj.org/article/7ea8584150d14155b401fb552d0229f2
Autor:
Devlina, Santosh Kumar Sahu
Publikováno v:
Administrative Sciences, Vol 13, Iss 3, p 68 (2023)
This study examines the barriers to female entrepreneurship in India’s microenterprise sector through society and bureaucracy. The study uses grammatical genders in languages to capture the societal attitudes towards female entrepreneurship. Using
Externí odkaz:
https://doaj.org/article/6388f5a91bd841278bf9d40d745a2c40