Bioinformatics

Accurate prediction of CDR-H3 loop structures of antibodies with deep learning

1. Hedi Chen
2. Xiaoyu Fan
3. Shuqian Zhu
4. Yuchan Pei
5. Xiaochun Zhang
6. Xiaonan Zhang
7. Lihang Liu
8. Feng Qian
9. Boxue Tian

• Curated by eLife

  eLife assessment

  This paper presents H3-OPT, a deep learning method that effectively combines existing techniques for the prediction of antibody structure. This work, supported by convincing experiments for validation, is important because the method can aid in the design of antibodies, which are key tools in many research and industrial applications.

Reviewed by eLife

Heterogeneous folding landscapes and predetermined breaking points within a protein family

1. Sebastian Pechmann

Reviewed by PREreview

Topological Structures in the Space of Treatment-Naïve Patients With Chronic Lymphocytic Leukemia

1. Reginald L. McGee
2. Jake Reed
3. Caitlin E. Coombes
4. Carmen D. Herling
5. Michael J. Keating
6. Lynne V. Abruzzo
7. Kevin R. Coombes

Reviewed by Arcadia Science

Inferring Single-Cell RNA Kinetics from Various Biological Priors

1. Yanshuo Chen
2. Zhengmian Hu
3. Ke Ni
4. Site Feng
5. Wei Chen
6. Heng Huang

Reviewed by Arcadia Science

IPEV: Identification of Prokaryotic and Eukaryotic Virus-derived sequences in virome using deep learning

1. Hengchuang Yin
2. Shufang Wu
3. Jie Tan
4. Qian Guo
5. Mo Li
6. Xiaoqing Jiang
7. Huaiqiu Zhu

Reviewed by GigaScience

SRY: An Effective Method for Sorting Long Reads of Sex-limited Chromosome

1. Xiao-Bo Wang
2. Qing-You Liu
3. A-Lun Li
4. Jue Ruan

Reviewed by GigaScience

Streamlining remote nanopore data access with slow5curl

1. Bonson Wong
2. James M. Ferguson
3. Hasindu Gamaarachchi
4. Ira W. Deveson

Reviewed by GigaScience

Pangenome databases improve host removal and mycobacteria classification from clinical metagenomic data

1. Michael B Hall
2. Lachlan J M Coin

Reviewed by GigaScience

Improved integration of single cell transcriptome data demonstrated on heart failure in mice and men

1. Mariano Ruz Jurado
2. Lukas Stefan Tombor
3. Mani Arsalan
4. Thomas Holubec
5. Fabian Emrich
6. Thomas Walther
7. Andreas M. Zeiher
8. Marcel H. Schulz
9. Stefanie Dimmeler
10. David John

Reviewed by GigaScience

Protein language models are biased by unequal sequence sampling across the tree of life

1. Frances Ding
2. Jacob Steinhardt

Reviewed by Arcadia Science