Results 141 to 150 of about 418,398 (323)

Lightweight ProteinUnet2 network for protein secondary structure prediction: a step towards proper evaluation. [PDF]

BMC Bioinformatics, 2022
Stapor K, Kotowski K, Smolarczyk T, Roterman I.   +3 more
europepmc   +1 more source

HYPROSP: a hybrid protein secondary structure prediction algorithm--a knowledge-based approach [PDF]

, 2004
Kuanlin Wu
openalex   +1 more source

Clinical Spectrum and Outcomes of SOX1 Antibody‐Associated Paraneoplastic Neurological Syndromes: A Chinese Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background SOX1 antibody‐positive paraneoplastic neurological syndromes (PNS) exhibit significant population‐specific clinical heterogeneity. While Western cohorts predominantly manifest Lambert‐Eaton myasthenic syndrome (65%–80%), comprehensive clinical characterization and treatment response data in Asian populations remain critically ...
Jin‐Long Ye, Zu‐Ying Kuang, Bo Li, Meng‐Qiu Pan, Li‐Hua Zhou, Yang‐Yang Dai, Si‐Fen Xie, Xian‐Guang Lin, Ye‐Peng Hu, Li‐Hong Jiang, Zhan‐Hang Wang, Wei‐Jing Zhang   +11 more
wiley   +1 more source

DNSS2: improved ab initio protein secondary structure prediction using advanced deep learning architectures [PDF]

, 2020
Zhiye Guo, Jie Hou, Jianlin Cheng
openalex   +1 more source

Improvements in Health‐Related Quality of Life With Treat‐to‐Target Urate‐Lowering Therapy in Gout: A Post Hoc Analysis of a Randomized Multicenter Trial

Arthritis Care &Research, EarlyView.
Objective Although treat‐to‐target urate‐lowering therapy (ULT) is endorsed as best practice in gout management, limited data exist on its impact on health‐related quality of life (HRQoL). We assessed the impact of treat‐to‐target ULT on HRQoL among participants receiving protocolized gout care, identifying factors associated with HRQoL and HRQoL ...
Austin Barry, Bryant R. England, Harlan Sayles, Lindsay N. Helget, Maria Androsenko, Hongsheng Wu, Kaleb Michaud, Bridget Kramer, Jeff A. Newcomb, Mary T. Brophy, Anne Davis‐Karim, Ryan Ferguson, Michael H. Pillinger, Tuhina Neogi, Paul M. Palevsky, James R. O'Dell, Ted R. Mikuls   +16 more
wiley   +1 more source

Ensemble of Template-Free and Template-Based Classifiers for Protein Secondary Structure Prediction. [PDF]

Int J Mol Sci, 2021
de Oliveira GB, Pedrini H, Dias Z.
europepmc   +1 more source

SPOT-1D-Single: improving the single-sequence-based prediction of protein secondary structure, backbone angles, solvent accessibility and half-sphere exposures using a large training set and ensembled deep learning [PDF]

, 2021
Jaspreet Singh, Thomas Litfin, Kuldip K. Paliwal, Jaswinder Singh, Anil Kumar Hanumanthappa, Yaoqi Zhou, Anil Kumar Hanumanthappa, Yaoqi Zhou   +7 more
openalex   +1 more source

Clinical Outcomes of Patients Within the Rheumatoid Arthritis Care Pathway Cohort at a Tertiary Care Integrated Delivery Network: A Comparison to Usual Care

Arthritis Care &Research, EarlyView.
Objective We aimed to compare clinical outcomes between patients in the Allegheny Health Network rheumatoid arthritis (RA) care pathway and patients receiving usual care. Methods The care pathway initiative implements guideline‐based best practice alongside multidisciplinary team‐based care.
Tarun Sharma, Tyson S. Barrett, Teigan Dwyer, Nancy Campbell, Jessica Heintzinger, Ellen Kraemer, Adam Dore, Susan Manzi   +7 more
wiley   +1 more source

The influence of dataset homology and a rigorous evaluation strategy on protein secondary structure prediction. [PDF]

PLoS One, 2021
Chen TR, Lo CH, Juan SH, Lo WC.
europepmc   +1 more source

ALIGNSEC: viewing protein secondary structure predictions within large multiple sequence alignments [PDF]

, 2017
Gilbert Deléage
openalex   +1 more source