Sagardip Majumder

This paper introduces a generative AI framework for designing transmembrane β-barrel nanopores with customizable properties for ion sensing, DNA translocation, and transport.

This paper designs Ca2+ channels with specific selectivity filter geometries using a bottom-up approach, showing higher Ca2+ conductance and structural accuracy.

This paper designs beta barrels and transmembrane nanopores using deep learning and parametric methods, achieving high success rates with experimental validation.

This paper introduces WRAPs, designed proteins that solubilize membrane proteins without detergents, enabling structural studies and vaccine development.

This paper designs stable transmembrane beta-barrel nanopores with tailored sizes and shapes using de novo protein design, achieving conductances ranging from 110 pS to 430 pS.

The paper designs nanomolar binders for diverse small molecules using a pseudocycle-based shape complementarity method, enabling direct conversion into sensing systems.

This paper introduces a synthetic biology platform to reconstitute and study LINC complex assembly using artificial nuclear membranes and cell-free expression.