Our algorithms process large data sets within a minute. حسب Manu Aggarwal (15990691)

A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data حسب Anthony S. Barente (14035175)

الموضوعات:

Average quality scores of the models of the analysis set as a function of the <i>w</i>_<i>SP</i> with which the DOPE potential has been included in the objective function... حسب Giacomo Janson (8138517)

3D modeling qualities of the AS single-template models built by including DOPE in the objective function of MODELLER. حسب Giacomo Janson (8138517)

3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER. حسب Giacomo Janson (8138517)

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer حسب Morgan Najera (21540776)

"…</li></ul><p dir="ltr">The scripts rely on the following Python packages. Where available, repository links are provided:</p><ol><li><b>NumPy</b>, version 1.22.1</li><li><b>SciPy</b>, version 1.7.3</li><li><b>PyGAD</b>, version 3.0.1 — https://pygad.readthedocs.io/en/latest/#</li><li><b>bees-algorithm</b>, version 1.0.2 — https://pypi.org/project/bees-algorithm</li><li><b>KrakenOS</b>, version 1.0.0.19 — https://github.com/Garchupiter/Kraken-Optical-Simulator</li><li><b>matplotlib</b>, version 3.5.2</li></ol><p dir="ltr">All scripts are modular and organized to reflect the design stages described in the manuscript.…"

Adaptive H-REMD simulation algorithm. حسب Danial Pourjafar-Dehkordi (7165523)

Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy حسب Yujin Wu (2901128)

"…Here, we propose a new physics-based scoring function that includes both enthalpic and entropic contributions upon binding by considering the conformational variability of the flexible side chains within the ensemble of docked poses. …"

Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy حسب Yujin Wu (2901128)

"…Here, we propose a new physics-based scoring function that includes both enthalpic and entropic contributions upon binding by considering the conformational variability of the flexible side chains within the ensemble of docked poses. …"

Listed python codes of our algorithm with explanations (Python 3.9 recommended). حسب Takayuki Niizato (162226)

Genetic algorithms can be applied to higher-dimensional design problems. حسب Lu Hong (399882)

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Algorithmic assessment reveals functional implications of GABRD gene variants linked to idiopathic generalized epilepsy حسب Ayla Arslan (17943365)

"…Initially, separate algorithms based on sequence homology are utilized to assess this variant set. …"

NRPStransformer, an Accurate Adenylation Domain Specificity Prediction Algorithm for Genome Mining of Nonribosomal Peptides حسب Zhihan Zhang (1403308)

"…Leveraging the sequences within the flavodoxin-like subdomain, we developed a substrate specificity prediction algorithm using a protein language model, achieving 92% overall prediction accuracy for 43 frequently observed amino acids, significantly improving the prediction reliability. …"

Reward function related parameters. حسب Honglei Pang (22693724)

الموضوعات:

Super.Complex identifies likely protein complexes within a PPI network using a distributed supervised AutoML method. حسب Meghana Venkata Palukuri (11890672)

الموضوعات:

Python-based Monte Carlo Simulation Tool حسب Yangfan Jiang (9372782)

Internal symmetry in crystallin proteins. حسب Spencer E. Bliven (6672755)

الموضوعات:

Identification of hub genes from the PPI network by bottleneck algorithm using the cytoHubba Cytoscape plugin. حسب Cihat Erdogan (12529243)

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results حسب Se-Hee Jo (20554623)

"…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …"

Inter-replicate consistency and within-patient similarity across network smoothing. حسب Konstantina Charmpi (9901053)

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