Results 51 to 60 of about 247,050 (170)

Prediction of 5-hydroxytryptamine Transporter Inhibitor based on Machine Learning [PDF]

open access: yesarXiv, 2019
In patients with depression, the use of 5-HT reuptake inhibitors can improve the condition. Topological fingerprints, ECFP4, and molecular descriptors were used. Some SERT and small molecules combined prediction models were established by using 5 machine learning methods. We selected the higher accuracy models(RF, SVM, LR) in five-fold cross-validation
arxiv  

Protein Conformation Generation via Force-Guided SE(3) Diffusion Models [PDF]

open access: yesarXiv
The conformational landscape of proteins is crucial to understanding their functionality in complex biological processes. Traditional physics-based computational methods, such as molecular dynamics (MD) simulations, suffer from rare event sampling and long equilibration time problems, hindering their applications in general protein systems.
arxiv  

Freeze the BCI until the user is ready: a pilot study of a BCI inhibitor [PDF]

open access: yesarXiv, 2011
In this paper we introduce the concept of Brain-Computer Interface (BCI) inhibitor, which is meant to standby the BCI until the user is ready, in order to improve the overall performance and usability of the system. BCI inhibitor can be defined as a system that monitors user's state and inhibits BCI interaction until specific requirements (e.g.
arxiv  

A pure trypsin inhibitor from soya beans [PDF]

open access: green, 1963
Yehudith Birk   +2 more
openalex   +1 more source

Wheat amylase/trypsin inhibitors (ATIs): occurrence, function and health aspects. [PDF]

open access: yesEur J Nutr, 2022
Geisslitz S   +14 more
europepmc   +1 more source

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