BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data حسب Jean-Christophe Lachance (6619307)

"…Despite its importance, no standardized computational platform is currently available to generate species-specific biomass objective functions in a data-driven, unbiased fashion. To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …"

Sub-model-specific gene sets with functional annotations and weights. حسب Josh L. Espinoza (10492448)

Top-ranked hub genes identified by 5 cytoHubba algorithms. حسب Jun Li (6494)

Optimization Performance Comparison of Metaheuristic Algorithms. حسب Xie Qiu (13243770)

Fraction of selective neurons as a function of the imaging signal-to-noise ratio. حسب Ziqiang Wei (5953964)

Pairwise alignment results from human proteins and <i>H</i>. <i>pylori</i> proteins using Blosum 62 and PM250 algorithms. حسب Andrés Sánchez Caraballo (15354081)

Modeling with uniform <i>σ</i> values. حسب Giacomo Janson (8138517)

A Functional Bayesian Model for Hydrogen–Deuterium Exchange Mass Spectrometry حسب Oliver M. Crook (6013703)

الموضوعات:

A Functional Bayesian Model for Hydrogen–Deuterium Exchange Mass Spectrometry حسب Oliver M. Crook (6013703)

الموضوعات:

Demonstration of the combinatorial Hill functions (A and B), and the regulation function (C and D) under the regulation of an activator and a repressor. حسب Ruihao Li (2908991)

Genetic algorithm RfaH designs exhibit greater sequence similarity to NusG-like foldswitching proteins than non-foldswitching proteins. حسب Lu Hong (399882)

الموضوعات:

Table2_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX حسب Lei Chen (54296)

"…In this study, the protein–protein interaction network, functional annotation of proteins and a group of direct proteins with known subcellular localization were used to construct models. …"

Table3_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX حسب Lei Chen (54296)

"…In this study, the protein–protein interaction network, functional annotation of proteins and a group of direct proteins with known subcellular localization were used to construct models. …"

Table4_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX حسب Lei Chen (54296)

"…In this study, the protein–protein interaction network, functional annotation of proteins and a group of direct proteins with known subcellular localization were used to construct models. …"

Table1_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX حسب Lei Chen (54296)

"…In this study, the protein–protein interaction network, functional annotation of proteins and a group of direct proteins with known subcellular localization were used to construct models. …"

NLDock: a Fast Nucleic Acid–Ligand Docking Algorithm for Modeling RNA/DNA–Ligand Complexes حسب Yuyu Feng (11371729)

الموضوعات:

Steering system model. حسب Honglei Pang (22693724)

الموضوعات:

Braking system model. حسب Honglei Pang (22693724)

الموضوعات:

Force Field Optimization Guided by Small Molecule Crystal Lattice Data Enables Consistent Sub-Angstrom Protein–Ligand Docking حسب Hahnbeom Park (665004)

الموضوعات:

Core genes were selected through PPI analysis based on three algorithms. حسب Dong-Hee Han (140305)

"…<b>(B)</b> The priority of the top 10 genes was evaluated through MNC, which identifies clusters of protein nodes that are more functionally connected to each other and selects the central proteins within the cluster. …"