Flowchart of proposed fitness function algorithm. by Ferhat Yuna (21519851)

“…The mathematical model was transformed into a fitness function and a solution was provided with the Tabu Search Algorithm and Simulated Annealing. …”

Computational Pipeline for Accelerating the Design of Glycomimetics by Yao Xiao (227567)

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

Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

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Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

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Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

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Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

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Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

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Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

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Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

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Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

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Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

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Supplemental files to the study "Limitations of Current Machine-Learning Models in Predicting Enzymatic Functions for Uncharacterized Proteins" by Valerie de Crecy-Lagard (12823436)

“…An open question is the ability of machine-learning approaches to predict enzymatic functions unseen in the training sets. Using a set of <i>E. coli</i> unknowns, we evaluated the current state-of-the-art machine-learning approaches and found that these methods currently lack the ability to integrate scientific reasoning into their prediction algorithms. …”

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. …”

Supplemental Tables S1 and S2 for Combining structural modeling and deep learning to calculate the E. coli protein interactome and functional networks by Diana Murray (16859046)

“…<p dir="ltr">We report on the integration of three methods that are computationally efficient enough to predict, on a proteome-wide scale, whether two proteins are likely to form a binary complex. …”

a-c: (a) The nomogram model developed for the prognostic prediction of hub genes from the study. by Devi Soorya Narayana Sasikumar (22331743)

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A Genetic Algorithm Approach for Compact Wave Function Representations in Spin-Adapted Bases by Maru Song (22593561)

“…<i>Quantum Anamorphosis</i> addresses this challenge through physically motivated localization of molecular orbitals and site reordering, which yield unique block-diagonal Hamiltonian matrices and compact spin-adapted many-body wave functions. In this work, we introduce a genetic algorithm to identify optimal orbital/site orderings that enhance wave function compactness, thereby enabling the study of larger systems than previously possible. …”

A typical BCI system depicting the flow and processing of EEG data. by Gursimran Singh (575288)

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Alphaviruses nsP4 protein alignment. by Marie-France Martin (12118879)

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)