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Towards Computational Biology

I am currently trying to dive into exploiting deep learning to tackle complex biological problems and eventually give people better lives. This may be a long shot, but I will take the odds.

Jinyuan's GitHub stats

If you would like to discuss anything about applying deep learning to biological problems, feel free to get in touch with me: [email protected].
Publications.

jinyuan sun's Projects

ab_rmsd icon ab_rmsd

Calculate the RMSD between two antibody structure (including nanobody and antibody).

afig icon afig

Using BUSCO Lineage data to train HMM model and annotate fungi genome

azimuth icon azimuth

Machine Learning-Based Predictive Modelling of CRISPR/Cas9 guide efficiency

biopython icon biopython

Official git repository for Biopython (originally converted from CVS)

cage-prox icon cage-prox

Computer aided proximal decaging as a universal strategy for temporal protein activation

camp icon camp

predicting peptide-protein interactions

cmpp icon cmpp

Annotate C(CAZy)M(MEROPS)P(PHI)P(P450) for fungi.

ddgscan icon ddgscan

DDGScan: an integrated parallel workflow for the in silico point mutation scan of protein

deepet_reps icon deepet_reps

An installable library to get DeepET representations.

depect icon depect

Design and Engineering of Protein and Enzymes by Computational Tools

ecnet icon ecnet

An evolutionary context-integrated deep learning framework for protein engineering

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