Awesome Computational Biochemistry: A colection of bioinformatics papers

Interesting Reads

1. A workflow reproducibility for automatic validation of biological interpretation results https://doi.org/10.1101/2022.10.11.511695
2. Attention Is All You Need https://doi.org/10.48550/arXiv.1706.03762
3. Ten simple rules to cultivate belonging in collaborative data science reasearch teams https://doi.org/10.1371/journal.pcbi.1010567
4. CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP https://doi.org/10.48550/arXiv.2110.11316
5. A structural biology community assessment of AlphaFold2 applications https://doi.org/10.1038/s41594-022-00849-
6. Multiple Sequence Alignment based on deep Q network with negative feedback policy https://doi.org/10.1016/j.compbiolchem.2022.107780
7. Obtaining genetics insights from deep learning via explainable artificial intelligence https://doi.org/10.1038/s41576-022-00532-2
8. 25 Years of Small-Molecule Optimization at Novartis: A Retrospective Analysis of Chemical Series Evolution https://doi.org/10.1021/acs.jcim.2c00785
9. Predictive validity in drug discovery: what it is, why it matters and how to improve it https://doi.org/10.1038/s41573-022-00552-x YouTube: https://t.co/vbhhqgKsO6

NB: This mostly constitute of papers I find interesting and gather.