11 citations · 21 across the 6 of their papers we have counts for
6 papers
Pearl: A Foundation Model for Placing Every Atom in the Right Location
Genesis Research Team, Alejandro Dobles, Nina Jovic +37
Accurately predicting the three-dimensional structures of protein-ligand complexes remains a fundamental challenge in computational drug discovery that limits the pace and success…
APEX: Approximate-but-exhaustive search for ultra-large combinatorial synthesis libraries
Aryan Pedawi, Jordi Silvestre-Ryan, Bradley Worley +5
Make-on-demand combinatorial synthesis libraries (CSLs) like Enamine REAL have significantly enabled drug discovery efforts. However, their large size presents a challenge for virt…
BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery
Peter St. John, Dejun Lin, Polina Binder +89
Artificial Intelligence models encoding biology and chemistry are opening new routes to high-throughput and high-quality in-silico drug development. However, their training increas…
On the length scale dependence of DNA conformational change under local perturbation
Soumyadip Banerjee, Kushal Shah, Shaunak Sen
Conformational change of a DNA molecule is frequently observed in multiple biological processes and has been modelled using a chain of strongly coupled oscillators with a nonlinear…
Computational prediction of replication sites in DNA sequences using complex number representation
Shubham Kundal, Raunak Lohiya, Hritik Bansal +3
Computational prediction of origin of replication (ORI) has been of great interest in bioinformatics and several methods including GC-skew, auto-correlation etc. have been explored…
iCorr : Complex correlation method to detect origin of replication in prokaryotic and eukaryotic genomes
Shubham Kundal, Raunak Lohiya, Kushal Shah
Computational prediction of origin of replication (ORI) has been of great interest in bioinformatics and several methods including GC Skew, Z curve, auto-correlation etc. have been…