Seeking Alpha

Ligand Pharma sets 2026 outlook as Citi starts at Buy on valuation

As J&J (JNJ) partner Ligand Pharma (LGND) held its Investor Day in New York City on Tuesday, Citi initiated its coverage with a Buy recommendation and a target price of $270, noting that the biotech’s ...
IEEE

Local–Global Structure-Aware Geometric Equivariant Graph Representation Learning for Predicting Protein–Ligand Binding Affinity

Abstract: Predicting protein-ligand binding affinities is a critical problem in drug discovery and design. A majority of existing methods fail to accurately characterize and exploit the geometrically ...
IEEE

Interaction-Based Inductive Bias in Graph Neural Networks: Enhancing Protein-Ligand Binding Affinity Predictions From 3D Structures

Abstract: Inductive bias in machine learning (ML) is the set of assumptions describing how a model makes predictions. Different ML-based methods for protein-ligand binding affinity (PLA) prediction ...
FiercePharma

Ligand's Pelthos unit joins forces with Channel Therapeutics in merger centered on launch of molluscum gel Zelsuvmi

Ligand Pharmaceuticals’ topical skin infection gel Zelsuvmi is changing hands again—sort of. After Ligand last year created Pelthos Therapeutics to support the launch of Zelsuvmi, Pelthos is now ...
SciTech Daily

New Method Detects Ligand-Protein Interactions With Unprecedented Sensitivity

PELSA allows for systematic analysis of ligand-binding proteins, their binding sites, and local binding affinities in cell lysate. Credit: DICP PELSA is a sensitive, versatile method for identifying ...
C&EN

On the Frustration to Predict Binding Affinities from Protein–Ligand Structures with Deep Neural Networks

Accurate prediction of binding affinities from protein–ligand atomic coordinates remains a major challenge in early stages of drug discovery. Using modular message passing graph neural networks ...
eLife

Ligand binding remodels protein side-chain conformational heterogeneity

While protein conformational heterogeneity plays an important role in many aspects of biological function, including ligand binding, its impact has been difficult to quantify. Macromolecular X-ray ...
eLife

A molecular mechanism for the generation of ligand-dependent differential outputs by the epidermal growth factor receptor

The epidermal growth factor receptor (EGFR) is a receptor tyrosine kinase that couples the binding of extracellular ligands, such as EGF and transforming growth factor-α (TGF-α), to the initiation of ...
Frontiers

OnionNet-2: A Convolutional Neural Network Model for Predicting Protein-Ligand Binding Affinity Based on Residue-Atom Contacting Shells

One key task in virtual screening is to accurately predict the binding affinity ( G) of protein-ligand complexes. Recently, deep learning (DL) has significantly increased the predicting accuracy of ...
C&EN

NLDock: a Fast Nucleic Acid–Ligand Docking Algorithm for Modeling RNA/DNA–Ligand Complexes

Nucleic acid–ligand interactions play an important role in numerous cellular processes such as gene function expression and regulation. Therefore, nucleic acids such as RNAs have become more and more ...