GA[ESM,pMPNN,AF2Rank] algorithm flowchart. by Lu Hong (399882)

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List of potential novel associations predicted with a high score and confirmed by the most recent literature works. by Paolo Perlasca (9909695)

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Depiction of the theory, can sequence infer function? by Ashley I. Heinson (8124374)

Illustration of the perturbation of the protein relationship network and NECARE algorithm. by Jiajun Qiu (4684921)

A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density. by Hassan Mehboob (8960273)

“…<p>A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density.…”

A framework for improving localisation prediction algorithms. by Sven B. Gould (12237287)

“…Classifiers on which the algorithms are trained could include parameters such as the evolutionary distance of a species, non-coding regions, or a protein’s abundance as a currently neglected factor. …”

Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta by Morgan L. Nance (10981871)

“…These highly diverse chains are recognized by a variety of protein receptors, enabling glycans to regulate many biological functions. …”

Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta by Morgan L. Nance (10981871)

“…These highly diverse chains are recognized by a variety of protein receptors, enabling glycans to regulate many biological functions. …”

Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta by Morgan L. Nance (10981871)

“…These highly diverse chains are recognized by a variety of protein receptors, enabling glycans to regulate many biological functions. …”

Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta by Morgan L. Nance (10981871)

“…These highly diverse chains are recognized by a variety of protein receptors, enabling glycans to regulate many biological functions. …”

Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta by Morgan L. Nance (10981871)

“…These highly diverse chains are recognized by a variety of protein receptors, enabling glycans to regulate many biological functions. …”

Bridge: A Graph-Based Algorithm to Analyze Dynamic H‑Bond Networks in Membrane Proteins by Malte Siemers (5127779)

“…For channelrhodopsin, a membrane protein whose functioning involves proton-transfer reactions, Bridge identifies extensive networks of protein–water hydrogen bonds and an unanticipated network that can bridge transiently two proton donors across a distance of ∼20 Å. …”

NRPStransformer, an Accurate Adenylation Domain Specificity Prediction Algorithm for Genome Mining of Nonribosomal Peptides by 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. …”

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

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Functions of most frequently mutated genes. by Anda Stan (18056225)

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Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

F1 obtained for PFP-WGAN and DeepGO-Seq for GO terms as a function of number of available positive training samples. by Seyyede Fatemeh Seyyedsalehi (10196767)

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Dynamical comparison between Drosha and Dicer reveals functional motion similarities and dissimilarities by Rotem Aharoni (8108177)

“…Since dynamics is essential for protein function, a comparison at their dynamics level is fundamental for a complete understanding of the overall relations between these proteins. …”

Morpheus: A fragment-based algorithm to predict metamorphic behaviour in proteins across proteomes by Vijay Subramanian (20718933)

“…<p dir="ltr">Supplementary material for Morpheus: A fragment-based algorithm to predict metamorphic behaviour in proteins across proteomes.…”

Genetic Algorithm for Automated Parameterization of Network Hamiltonian Models of Amyloid Fibril Formation by Gianmarc Grazioli (6752297)

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