Results 51 to 60 of about 31,735,543 (308)

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

State Space Methods in Stata

Journal of Statistical Software, 2011
We illustrate how to estimate parameters of linear state-space models using the Stata program sspace. We provide examples of how to use sspace to estimate the parameters of unobserved-component models, vector autoregressive moving-average models, and ...
David M. Drukker, Richard B. Gates
doaj  

Recursive prediction error methods for online estimation in nonlinear state-space models [PDF]

Modeling, Identification and Control, 1994
Several recursive algorithms for online, combined state and parameter estimation in nonlinear state-space models are discussed in this paper. Well-known algorithms such as the extended Kalman filter and alternative formulations of the recursive ...
Dag Ljungquist, Jens G. Balchen
doaj   +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

FEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj, Carolina Vazquez Garzon, Jose Joaquin Velasco, Janine N. Post   +3 more
wiley   +1 more source

State Space Methods in Ox/SsfPack

Journal of Statistical Software, 2011
The use of state space models and their inference is illustrated using the package SsfPack for Ox. After a rather long introduction that explains the use of SsfPack and many of its functions, four case-studies illustrate the practical implementation of ...
Matteo M. Pelagatti
doaj  

Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions

FEBS Letters, EarlyView.
The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang, Hyo Been Jin, Chang Min Kim, So Yeon Lee, Hyun Ho Park   +4 more
wiley   +1 more source

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

FEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta, Hari Baskar Balasubramanian, Amir Pasokh, Marietta Zille   +3 more
wiley   +1 more source

Forecasting of commodities prices using a multi-factor PDE model and Kalman filtering

IET Cyber-Physical Systems, 2018
This study proposes a method for forecasting commodities prices using Schwartz partial differential equation (PDE) and Kalman filtering. The method is applicable to both the single-factor and the multi-factor Schwartz PDE.
Gerasimos Rigatos, Pierluigi Siano, Taniya Ghosh, Taniya Ghosh, Yi Ding   +4 more
doaj   +1 more source

Steady-State Analysis and Design Methodology for Class-E2 Resonant DC/DC Converters Based on a Normalized State-Space Model

Eletrônica de Potência, 2020
This paper presents a steady-state analysis and design methodology for the Class-E² resonant DC/DC converter. The converter is represented in a normalized state-space model that is independent of specifications and real system components, like as ...
Lucas S. Mendonça, João Pedro S. Cipriani, Thiago C. Naidon, Fábio E. Bisogno   +3 more
doaj   +1 more source

Spike-based reinforcement learning in continuous state and action space: when policy gradient methods fail. [PDF]

PLoS Computational Biology, 2009
Changes of synaptic connections between neurons are thought to be the physiological basis of learning. These changes can be gated by neuromodulators that encode the presence of reward.
Eleni Vasilaki, Nicolas Frémaux, Robert Urbanczik, Walter Senn, Wulfram Gerstner   +4 more
doaj   +1 more source