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Protein sequencing

SORFPP: Enhancing rich sequence-driven information to identify SEPs based on fused framework on validation datasets

Hongqi Feng, Qi Nie, Sen Yang

Optimizing lipocalin sequence classification with ensemble deep learning models

Yonglin Zhang, Lezheng Yu, [ ... ], Jiesi Luo

Drug target affinity prediction based on multi-scale gated power graph and multi-head linear attention mechanism

Shuo Hu, Jing Hu, [ ... ], Xin Xu

Genetic tracking of Crimean-Congo haemorrhagic orthonairovirus in Hyalomma population infesting cattle in Nigeria

Oluwafemi Babatunde Daodu, Joseph Ojonugwa Shaibu, Rosemary Ajuma Audu, Daniel Oladimeji Oluwayelu

Site-specific prediction of O-GlcNAc modification in proteins using evolutionary scale model

Ayesha Khalid, Afshan Kaleem, [ ... ], Shagufta Naz

Bioinformatics analysis of myelin-microbe interactions suggests multiple types of molecular mimicry in the pathogenesis of multiple sclerosis

Ali Bigdeli, Mostafa Ghaderi-Zefrehei, [ ... ], S. Shahriar Arab

Evaluation of VP4-VP2 sequencing for molecular typing of human enteroviruses

Kouichi Kitamura, Minetaro Arita

A percolation theory analysis of continuous functional paths in protein sequence space affirms previous insights on the optimization of proteins for adaptability

Brian J. Miller

StackIL10: A stacking ensemble model for the improved prediction of IL-10 inducing peptides

Izaz Ahmmed Tuhin, Md. Rajib Mia, [ ... ], Md. Abdus Samad

PredIL13: Stacking a variety of machine and deep learning methods with ESM-2 language model for identifying IL13-inducing peptides

Hiroyuki Kurata, Md. Harun-Or-Roshid, Sho Tsukiyama, Kazuhiro Maeda

Effect of light on ascorbic acid biosynthesis and bioinformatics analysis of related genes in Chinese chives

Yuxuan Qian, Jing Tong, [ ... ], Zhanhui Wu

Characterization of BrGH3A, a bovine rumen-derived glycoside hydrolase family 3 β-glucosidase with a permuted domain arrangement

Phiraya Pitchayatanakorn, Eukote Suwan, Prachumporn T. Kongsaeree

Investigating molecular descriptors in cell-penetrating peptides prediction with deep learning: Employing N, O, and hydrophobicity according to the Eisenberg scale

Juliana Auzier Seixas Feio, Ewerton Cristhian Lima de Oliveira, [ ... ], Anderson Henrique Lima e Lima

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