Artificial intelligence for microbial biotechnology: beyond the hype

Critical assessment of protein intrinsic disorder prediction

(2021) Marco Necci et al.   NATURE METHODS

Highly accurate protein structure prediction with AlphaFold

(2021) John Jumper et al.   NATURE

Highly accurate protein structure prediction for the human proteome

(2021) Kathryn Tunyasuvunakool et al.   NATURE

A guide to machine learning for biologists

(2021) Joe G. Greener et al.   NATURE REVIEWS MOLECULAR CELL BIOLOGY

Accurate prediction of protein structures and interactions using a three-track neural network

(2021) Minkyung Baek et al.   SCIENCE

How do I get the most out of my protein sequence using bioinformatics tools?

(2021) Joana Pereira et al.   Acta Crystallographica Section D-Structural Biology

Transparency and reproducibility in artificial intelligence

(2020) Benjamin Haibe-Kains et al.   NATURE

UCSF ChimeraX : Structure visualization for researchers, educators, and developers

(2020) Eric F. Pettersen et al.   PROTEIN SCIENCE

Artificial intelligence faces reproducibility crisis

(2018) Matthew Hutson   SCIENCE

1,500 scientists lift the lid on reproducibility

(2016) Monya Baker   NATURE

Enhancing reproducibility for computational methods

(2016) V. Stodden et al.   SCIENCE

The FAIR Guiding Principles for scientific data management and stewardship

(2016) Mark D. Wilkinson et al.   Scientific Data