Results 241 to 250 of about 332,063 (283)

ParaDeep: sequence-based deep learning for residue-level paratope prediction using chain-aware BiLSTM-CNN models. [PDF]

Front Bioinform
Udomwong P, Pamonsupornwichit T, Kodchakorn K, Tayapiwatana C.   +3 more
europepmc   +1 more source

Modern resources for intrinsic disorder predictions: protein language models, deep learning, meta-servers, and databases. [PDF]

Cell Mol Life Sci
Wang K, Hu G, Yu J, Kurgan L.
europepmc   +1 more source

Protein design, generative AI and biological security. [PDF]

Front Microbiol
Brackmann M, Reiners S, Hoogendoorn M, Moser M.   +3 more
europepmc   +1 more source

In Silico Identification of Lepiotaprocerin C as a Promising PIM-1 Kinase Inhibitor: An Integrated Docking, Molecular Dynamics, MM/PBSA, QSAR, and ADMET Study. [PDF]

Bioinform Biol Insights
Ks K, Ibraheem FQ, Thapa S, Metri SM, Shaik S, Kurmi SPC, Chowdhury A, Mishra VK, T P.   +8 more
europepmc   +1 more source

A third blind test of crystal structure prediction [PDF]

Acta Crystallographica Section B: Structural Science, 2005
Following the interest generated by two previous blind tests of crystal structure prediction (CSP1999 and CSP2001), a third such collaborative project (CSP2004) was hosted by the Cambridge Crystallographic Data Centre. A range of methodologies used in searching for and ranking the likelihood of predicted crystal structures is represented amongst the 18
Graeme M Day, W D S Motherwell, H L Ammon   +2 more
exaly   +5 more sources

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A fast-acquiring blind predictive DFE

IEEE Transactions on Communications, 2002
This article presents a blind predictive decision-feedback equalization (DFE) scheme motivated by the work of Labat et al. (see idid., vol.46, p.921-30, July 1998). The proposed scheme outperforms another previously proposed blind predictive DFE scheme, and also eliminates the filter interchange required in the scheme of Labat et al.
Ananthaswamy, G, Goeckel, DL
openaire   +2 more sources

Pre-stimulus alpha predicts inattentional blindness

Consciousness and Cognition, 2021
Pre- and post-stimulus oscillatory activity between 8 and 12 hertz, referred to as the alpha-band, correlates with conscious visual awareness of stimuli across a variety of psychophysical tasks. Within an EEG-adapted inattentional blindness task, the current study sought to examine whether this relationship holds for conscious awareness of stimuli ...
Hutchinson, Brendan T., Pammer, Kristen, Jack, Bradley   +2 more
openaire   +2 more sources

Predicting and manipulating the incidence of inattentional blindness

Psychological Research, 2010
Inattentional blindness (IB) occurs when an observer, who is engaged in a resource-consuming task, fails to notice an unexpected although salient stimulus appearing in their visual field. The incidence of IB is affected by changes in stimulus-driven properties, but little research has examined individual differences in IB propensity. We examine working
Anne, Richards, Emily M, Hannon, Nazanin, Derakshan   +2 more
openaire   +2 more sources