Tutorial: a guide for the selection of fast and accurate computational tools for the prediction of intrinsic disorder in proteins
Intrinsic disorder is instrumental for a wide range of protein functions, and its analysis, using
computational predictions from primary structures, complements secondary and tertiary …
computational predictions from primary structures, complements secondary and tertiary …
[HTML][HTML] Homology modeling in the time of collective and artificial intelligence
Homology modeling is a method for building protein 3D structures using protein primary
sequence and utilizing prior knowledge gained from structural similarities with other …
sequence and utilizing prior knowledge gained from structural similarities with other …
ESpritz: accurate and fast prediction of protein disorder
Motivation: Intrinsically disordered regions are key for the function of numerous proteins, and
the scant available experimental annotations suggest the existence of different disorder …
the scant available experimental annotations suggest the existence of different disorder …
Comprehensive review of methods for prediction of intrinsic disorder and its molecular functions
F Meng, VN Uversky, L Kurgan - Cellular and Molecular Life Sciences, 2017 - Springer
Computational prediction of intrinsic disorder in protein sequences dates back to late 1970
and has flourished in the last two decades. We provide a brief historical overview, and we …
and has flourished in the last two decades. We provide a brief historical overview, and we …
A comprehensive review and comparison of existing computational methods for intrinsically disordered protein and region prediction
Y Liu, X Wang, B Liu - Briefings in bioinformatics, 2019 - academic.oup.com
Intrinsically disordered proteins and regions are widely distributed in proteins, which are
associated with many biological processes and diseases. Accurate prediction of intrinsically …
associated with many biological processes and diseases. Accurate prediction of intrinsically …
Deep learning in prediction of intrinsic disorder in proteins
Intrinsic disorder prediction is an active area that has developed over 100 predictors. We
identify and investigate a recent trend towards the development of deep neural network …
identify and investigate a recent trend towards the development of deep neural network …
Surveying over 100 predictors of intrinsic disorder in proteins
Introduction Intrinsic disorder prediction field develops, assesses, and deploys
computational predictors of disorder in protein sequences and constructs and disseminates …
computational predictors of disorder in protein sequences and constructs and disseminates …
The role of experimental noise in a hybrid classical-molecular computer to solve combinatorial optimization problems
Chemical and molecular-based computers may be promising alternatives to modern silicon-
based computers. In particular, hybrid systems, where tasks are split between a chemical …
based computers. In particular, hybrid systems, where tasks are split between a chemical …
ERH facilitates microRNA maturation through the interaction with the N-terminus of DGCR8
The microprocessor complex cleaves the primary transcript of microRNA (pri-miRNA) to
initiate miRNA maturation. Microprocessor is known to consist of RNase III DROSHA and …
initiate miRNA maturation. Microprocessor is known to consist of RNase III DROSHA and …
Short-term traffic flow prediction based on LSTM-XGBoost combination model
X Zhang, Q Zhang - Computer Modeling in Engineering & …, 2020 - ingentaconnect.com
According to the time series characteristics of the trajectory history data, we predicted and
analyzed the traffic flow. This paper proposed a LSTM-XGBoost model based urban road …
analyzed the traffic flow. This paper proposed a LSTM-XGBoost model based urban road …