Molecular & Cell Biology · Life Sciences
Biomolecules
The newest papers in Biomolecules that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
67 papers, from 31 August 2026 to 5 November 2026: 64 arXiv preprints and 3 OpenAlex records.
Get the few papers worth your time in Biomolecules every morning.
Follow Biomolecules and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers
Static Recovery Is Not Dynamic Stability: Dynamics-Aware Benchmarking of Protein Motif Scaffolding
Protein motif scaffolding benchmarks assess whether generative models can build scaffolds around functionally important residues.Geometric Relevance Is Not Sufficient: Evaluating Focused Post-Training Supervision in Diffusion Docking
Diffusion-based molecular docking requires learning a corrective score field across a broad corruption distribution, yet individual pose errors can differ substantially in their structural…Discrete Backbone Elasticity and Curvature-Dependent Torsion Statistics in Proteins
Coarse-grained models of protein conformational dynamics use $\mathrm{C}_α$ geometry to describe the probabilities of regular helices, ordered turns and disordered conformations.Predicting protein structures at any folding stage from sequence
Protein structure prediction has largely focused on native conformations, leaving the continuum of unfolded states, folding intermediates, and native structures difficult to access.Ablating Design Choices for Protein Ensemble Generators Across Structural Regimes
Generative models of protein conformational ensembles inherit much of their design from structure prediction for folded proteins.Empirical Bayes Flow Matching for Continuous Cryo-EM Heterogeneity
We address the problem of learning generative priors over high-dimensional latent variables from indirect, noisy observations, with a focus on continuous heterogeneity in cryo-electron microscopy…iGC: Antibody Optimization via Reinforcement Learning over a Learned Somatic Hypermutation Prior
Antibody affinity maturation is a natural optimization process in which B cells acquire mutations through somatic hypermutation (SHM), undergo selection for improved antigen binding, and iteratively…RangeFinder: Predicting Ligand Property Ranges from Protein Pockets
Identifying ligands for a protein target requires searching a vast chemical space for a comparatively small set of compatible molecules.Automatic Generation of Novel Highly-Functional Molecular Sequences
While multiple methods now exist to generate functional sequence variants from existing annotated examples, it is unclear how well such methods can be used to generate sequences that exceed the…El Agente Fármaco: A Scalable AI Scientist for Drug Discovery
Computational drug discovery offers a growing range of tools for proposing and evaluating molecules, but combining them and deciding what to do next still requires substantial expert effort.ProteoCraft: Protein Design as Proposal-Verification Search
Protein-protein interactions underpin nearly all biological processes.PeptSol: A Translational Benchmark for Protected-Peptide Solubility in Drug Manufacturing
Liquid-phase peptide synthesis (LPPS) offers a scalable route to peptide manufacturing, but route development still depends on empirical solvent screens because each protected intermediate must be…Canonic hemoglobin-oxygen equilibrium: Reassessing the role of cooperativity
Hemoglobin-oxygen equilibrium is normally studied within the grand canonical ensemble, which assumes that each hemoglobin is immersed in a reservoir of unbound oxygen molecules of the plasma.AI-driven structural informatics reveals diverse glycosylation machinery across double-stranded DNA viruses
Glycosylation is widespread in biology and shapes molecular recognition, yet the diversity and biosynthetic organization of viral glycosyltransferases (GTs) remain poorly understood.Contribution of chromosome-naïve transposon-seeded network of DNA templates to intracellular pools of protein dimers of liquid-liquid phase-separated condensate-forming proteins
Molecular mechanisms governing protein-protein interactions (PPI) contributing to the biogenesis of membraneless condensates remain poorly understood.D2ML: Models for Direct-to-Biology Small Molecule Screening
Direct-to-biology (D2B) screening enables rapid testing of newly synthesized molecules without purification.What to randomize matters: a controlled study of volume, axis and representation in low-data molecular generation
Chemical language models can struggle to generate new molecules when trained on small datasets, where a model may reproduce training examples rather than learn a useful generative distribution.Accurate structural modelling of protein-glycan recognition with GlycoWeave
Protein-glycan recognition underlies diverse biological processes, yet accurate prediction of protein-glycan complex structures remains challenging owing to the chemical diversity, conformational…A unified coarse-grained neural network potential for the dynamics of biomolecular complexes
The behavior of biomolecular complexes is governed by chemically specific interactions and often involves rare events that atomistic molecular dynamics struggle to capture within accessible…mdRNAcat: A Molecular Dynamics RNA Catalog of REST2 Conformational Ensembles
Learning molecular models of RNA requires simulation data that capture conformational variability and provide consistent physical training signals.