MEDOC: A Fast, Scalable, and Mathematically Exact Algorithm for the Site-Specific Prediction of the Protonation Degree in Large Disordered Proteins by Martin J. Fossat (3714079)

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Pipeline of the interactor algorithm. by Jose Cleydson F. Silva (8685594)

Connectivity of dysregulated proteins in SCA1 cells. by Aimilia-Christina Vagiona (17584758)

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2025-01-14 - PAG Talk - Kmerseek - Olga Botvinnik - Seanome by Olga Botvinnik (20571431)

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Hist-8000 sequence similarity scores are closer to the ground truth than the corresponding Sum-of-learnt-Trigrams scores. (NW, Hist-8000) and (NW, Hist-SDM12) are both higher than... by Frixos Papadopoulos (22001664)

Isologs, function and residue information of 12 key proteins in MPV replication. by Huaichuan Duan (6458477)

The algorithm is designed to identify patterns in the treatment dataset. by Belén Otero-Carrasco (21262360)

Summary of the contrasts obtained from the normalized images for both inclusions as a function of the host type and the wavelength. by María Victoria Waks-Serra (21578611)

A) Ranking of models trained on different feature sets across all tested algorithms, sorted by their F1-score. by Jose Cleydson F. Silva (8685594)

Two protein-ligand complexes shown with their persistence fingerprint. by Yuxi Long (11024307)

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Immune infiltration analysis by ssGSEA algorithm. by Yubin Xue (1537042)

Unraveling the gender-specific molecular landscape of lung squamous cell carcinoma progression by Ayushi Dwivedi (20658343)

A Chemoproteomic Approach for System-Wide and Site-Specific Uncovering of Functional Protein N‑Glycosylation by Guoli Wang (59357)

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The image of the Aekley function. by Zhengyu Xu (8550660)

Quantum Computing and peptide folding by Akshay Uttarkar (19699990)

“…<p dir="ltr">The work "Peptide Folding with Quantum CVaR-VQE Algorithm" represents a significant advancement in the field of computational biology, particularly in the challenging domain of protein folding. …”

Evolution of the rescaled hydraulic diameter () and complexity () in both simulations and seal tomograms as a function of simulation timestep and relative age (). by Jonathan E Kings (20818367)

The ALO algorithm optimization flowchart. by Wenjing Wang (181404)

“…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …”

The IALO algorithm solution flowchart. by Wenjing Wang (181404)

“…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …”

The results of LASSO regression algorithm. by Xue Fu (549661)

The GOR4 and SOPMA algorithm findings. by Ahmad Abdullah Mahdeen (19704401)