15 papers · ranked by Valyu relevance
Charlotte Caucheteux, Alexandre Gramfort, Jean-Rémi King
Language transformers, like GPT-2, have demonstrated remarkable abilities to process text, and now constitute the backbone of deep translation, summarization and dialogue algorithms. However, whether these models encode information that relates to human comprehension remains controversial. Here, we show that the…
Hyun Ji Ha, Sunghark Kwon, Eui Man Jeong, Chang Min Kim + 4 more
Multi-functional transglutaminase 2 (TG2), which possesses protein cross-linking and GTP hydrolysis activities, is involved in various cellular processes, including apoptosis, angiogenesis, wound healing, and neuronal regeneration, and is associated with many human diseases, including inflammatory disease, celiac…
Cassandra E. Smith, David N. M. Jones
Miro2 and Miro1 are mitochondrial-associated proteins critical for regulating mitochondrial movement within the cell. Both Miro1 and Miro2 have roles in promoting neuron function, but recently Miro2 has been shown to have additional roles in response to nutrient starvation in tumor cells. Miro1 and 2 consist of two…
Kan Hatakeyama-Sato, Naoki Yamane, Yasuhiko Igarashi, Yuta Nabae + 1 more
This paper evaluates the capabilities and limitations of the Generative Pre-trained Transformer 4 (GPT-4) in chemical research. Although GPT-4 exhibits remarkable proficiencies, it is evident that the quality of input data significantly affects its performance. We explore GPT-4's potential in chemical tasks, such as…
Alexander M. Ille, Christopher Markosian, Stephen K. Burley, Michael B. Mathews + 2 more
Natural language-based generative artificial intelligence (AI) has become increasingly prevalent in scientific research. Intriguingly, capabilities of generative pre-trained transformer (GPT) language models beyond the scope of natural language tasks have recently been identified. Here we explored how GPT-4 might be…
Sayantan Roy, Bing Wang, Yuan Tian, Qian Yin
Guanylate-binding proteins (GBPs) are interferon-inducible GTPases that confer protective immunity against a variety of intracellular pathogens including bacteria, viruses, and protozoan parasites. GBP2 is one of the two highly inducible GBPs, yet the precise mechanisms underlying the activation and regulation of GBP2…
Wenyu Zhang, Mason Guy, Jerrica Yang, Lucy Hao + 5 more
Large Language Models (LLMs) have revolutionized numerous industries as well as accelerated scientific research. However, their application in planning and conducting experimental science, has been limited. In this study, we introduce an adaptable prompt-set with GPT-4, converting literature experimental procedures…
Microsoft Research AI Science, Microsoft Azure Quantum
In recent years, groundbreaking advancements in natural language processing have culminated in the emergence of powerful large language models (LLMs), which have showcased remarkable capabilities across a vast array of domains, including the understanding, generation, and translation of natural language, and even tasks…
Brenton T Bicknell, Danner Butler, Sydney Whalen, James Ricks + 12 more
'Cory J Dixon' 'Abigail B Clark' 'Olivia Spaedy' 'Adam Skelton' 'Neel Edupuganti' 'Lance Dzubinski' 'Hudson Tate' 'Garrett Dyess' 'Brenessa Lindeman' 'Lisa Soleymani Lehmann' 'David Chartash' 'Gunther Eysenbach'] Title: Abstract Background Recent studies, including those by the National Board of Medical Examiners, have…
Ming-Yu Hsieh, Tzu-Ling Wang, Pen-Hua Su, Ming-Chih Chou + 1 more
Background Large language models such as ChatGPT (OpenAI) have shown promise in medical education assessments, but the comparative effects of prompt engineering across optimized variants and relative performance against medical students remain unclear. Objective This study aims to systematically evaluate the impact of…
Markus Orsi, Jean-Louis Reymond
Antimicrobial peptides (AMPs) are naturally occurring or designed peptides up to a few tens of amino acids which may help address the antimicrobial resistance crisis. However, their clinical development is limited by toxicity to human cells, a parameter which is very difficult to control. Given the similarity between…
Gunther Eysenbach, Andrew Coristine, Su-Hwan Kim, Bill Thies + 11 more
'Thomas F Heston' 'Zhichao Yang' 'Zonghai Yao' 'Mahbuba Tasmin' 'Parth Vashisht' 'Won Seok Jang' 'Feiyun Ouyang' 'Beining Wang' 'David McManus' 'Dan Berlowitz' 'Hong Yu'] Background Recent advancements in artificial intelligence, such as GPT-3.5 Turbo (OpenAI) and GPT-4, have demonstrated significant potential by…
Hiral M. Sanghavi, Richa Rashmi, Anirban Dasgupta, Sharmistha Majumdar
Guanine nucleotide binding proteins are characterized by a structurally and mechanistically conserved GTP-binding domain, indispensable for binding GTP. The G domain comprises of five adjacent consensus motifs called G boxes, which are separated by amino acid spacers of different lengths. Several G proteins, discovered…
Michael W. Moran, Elizabeth P. Ramirez, James D. Zook, Alicia M. Saarinen + 10 more
'Alicia M. Saarinen' 'Bobby Baravati' 'Matthew R. Goode' 'Vasiliki Laloudakis' 'Emily K. Kaschner' 'Tien L. Olson' 'Felicia M. Craciunescu' 'Debra T. Hansen' 'Jun Liu' 'Petra Fromme' 'Oscar Millet'] In the United States non-alcoholic fatty liver disease (NAFLD) is the most common form of chronic liver disease…
Sebastian Lehmann, Florian Wilhelmy, Frederic V. Schwaebe, Nikolaus von Dercks + 2 more
Objective In our recent study we showed that GPT's ability to perform OPS-code extraction from operational reports was equivalent to coding neurosurgeons. In this study we aim to evaluate the effect of context enhancement on GPT-5's code extraction abilities. Methods We provided OpenAIs GPT-5 with 100 operational…