Jian Liu

The paper improves AlphaFold2 and AlphaFold3 predictions using MSA engineering, extensive model sampling, and ensemble QA methods, achieving high accuracy in CASP16.

The paper introduces MULTICOM, a system that enhances AlphaFold-Multimer for protein complex structure prediction, achieving higher TM-scores in CASP15.

The paper improves AlphaFold2-based protein structure prediction using MULTICOM_refine, achieving higher accuracy in CASP15 compared to standard AlphaFold2.

The paper introduces a hybrid method combining pairwise similarity and deep learning for estimating protein complex model accuracy, achieving high correlation and low ranking loss in CASP15.

CDPred predicts inter-chain residue-residue distances in protein complexes using 2D attention-based deep learning, outperforming existing methods on homodimer and heterodimer datasets.

The paper develops deep learning-based protein distance predictors for CASP14, achieving top rankings in contact prediction and showing the importance of MSAs and features in accuracy.