Zobrazeno 1 - 10
of 414
pro vyhledávání: '"Jeffrey Skolnick"'
Autor:
Troy von Beck, Karla Navarrete, Nicholas A. Arce, Mu Gao, Gordon A. Dale, Meredith E. Davis-Gardner, Katharine Floyd, Luis Mena Hernandez, Nikita Mullick, Abigail Vanderheiden, Ioanna Skountzou, Suresh V. Kuchipudi, Rathi Saravanan, Renhao Li, Jeffrey Skolnick, Mehul S. Suthar, Joshy Jacob
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) poses a clear threat to humanity. It has infected over 200 million and killed 4 million people worldwide, and infections continue with no end in sight. To control the pandemic,
Externí odkaz:
https://doaj.org/article/e02836828324427c886174a79b6c8fa8
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Infectious diseases are known to cause a wide variety of post-infection complications. However, it’s been challenging to identify which diseases are most associated with a given pathogen infection. Using the recently developed LeMeDISCO ap
Externí odkaz:
https://doaj.org/article/d7e45b80c30e4d6daea3530247362e7f
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022)
Predicting inter-chain residue-residue distances of protein complexes is useful for constructing and evaluating quaternary structures of the protein complexes. Here, the authors develop a deep attention-based residual network method (CDPred) to predi
Externí odkaz:
https://doaj.org/article/af8cd54b2b984221ab67e85f2070e2d6
Publikováno v:
Communications Biology, Vol 5, Iss 1, Pp 1-12 (2022)
LeMeDISCO predicts disease comorbidities and the proteins and pathways responsible for comorbidity, validated in ovarian cancer and coronary heart disease.
Externí odkaz:
https://doaj.org/article/4374e373cf624f3e9ad1d6e2bf445fd2
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-13 (2022)
Accurate descriptions of protein-protein interactions are essential for understanding biological systems. Here the authors present AF2Complex and show that application to the E. coli cytochrome biogenesis system I yields confident computational model
Externí odkaz:
https://doaj.org/article/292112ae49f04dfdb35777d29f8cb011
Autor:
Troy von Beck, Luis Mena Hernandez, Hongyi Zhou, Katharine Floyd, Mehul S. Suthar, Jeffrey Skolnick, Joshy Jacob
Publikováno v:
Viruses, Vol 15, Iss 9, p 1841 (2023)
The emergence of SARS-CoV-1 in 2003 followed by MERS-CoV and now SARS-CoV-2 has proven the latent threat these viruses pose to humanity. While the SARS-CoV-2 pandemic has shifted to a stage of endemicity, the threat of new coronaviruses emerging from
Externí odkaz:
https://doaj.org/article/a1285da037324ab1a67d17ece6733ca5
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Following SARS-CoV-2 infection, some COVID-19 patients experience severe host driven adverse events. To treat these complications, their underlying etiology and drug treatments must be identified. Thus, a novel AI methodology MOATAI-VIR, whi
Externí odkaz:
https://doaj.org/article/6d5dfd9b8b304382b1be356f12281eba
Publikováno v:
eLife, Vol 11 (2022)
To reach their final destinations, outer membrane proteins (OMPs) of gram-negative bacteria undertake an eventful journey beginning in the cytosol. Multiple molecular machines, chaperones, proteases, and other enzymes facilitate the translocation and
Externí odkaz:
https://doaj.org/article/97c6484d891040a4b954c311f162650c
Autor:
Jonathan Mitchel, Pratima Bajaj, Ketki Patil, Austin Gunnarson, Emilie Pourchet, Yoo Na Kim, Jeffrey Skolnick, S. Balakrishna Pai
Publikováno v:
Cancer Informatics, Vol 20 (2021)
Background: Colorectal cancer is the third largest cause of cancer-related mortality worldwide. Although current treatments with chemotherapeutics have allowed for management of colorectal cancer, additional novel treatments are essential. Intervenin
Externí odkaz:
https://doaj.org/article/ee2f6874186741cca97dea210cb495ed
Autor:
Peter M. Eimon, Mostafa Ghannad-Rezaie, Gianluca De Rienzo, Amin Allalou, Yuelong Wu, Mu Gao, Ambrish Roy, Jeffrey Skolnick, Mehmet Fatih Yanik
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-14 (2018)
One challenge in drug screening for neurological disorders is how to accurately capture disease pathology and side effects. Here, the authors developed a multi-channel recording platform based on a zebrafish genetic model of epilepsy to screen for an
Externí odkaz:
https://doaj.org/article/ca48ead3c4314e8da4bd2a2868831cfd