Sagardip Majumder

Generative design of programmable asymmetric β-barrel nanopores

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

Bottom-up design of calcium channels from defined selectivity filter geometry

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

Parametrically guided design of beta barrels and transmembrane nanopores using deep learning

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

Solubilization of Membrane Proteins using designed protein WRAPS

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

Sculpting conducting nanopore size and shape through de novo protein design

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.

A synthetic biology platform for the reconstitution and mechanistic dissection of LINC complex assembly

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