Kartik Majila

This study evaluates AlphaFold-based integrative modeling methods using chemical crosslinks, finding they often rely more on learned priors than input data.

The paper builds structural models of HDAC1/2-containing chromatin remodeling complexes using XL-MS and integrative modeling, revealing how the CTD IDR of HDAC1 folds into alpha helices.

The paper shows that eGATA3 mutations alter transcriptional regulation and lineage identity in luminal breast cancer without losing DNA-binding function.

The paper determines the structure of a MICOS sub-assembly using integrative methods, revealing novel interfaces and mutation hotspots.

Disobind predicts inter-protein contact maps and interface residues for intrinsically disordered regions using sequence-based deep learning, outperforming existing methods without requiring structures or alignments.

StrIDR is a database of intrinsically disordered regions with experimentally resolved structures, providing insights into IDR dynamics and facilitating computational studies.

This paper introduces NestOR, a Bayesian method to automatically select optimal coarse-grained representations for integrative structural modeling, improving accuracy and efficiency.