Papers

• BioReason-Pro: Advancing Protein Function Prediction with Multimodal Biological Reasoning (2026)
  Adibvafa Fallahpour et al.
  6.46
• PertReason: A Knowledge-Grounded Benchmark and Framework for Cell-State-Conditioned Mechanistic Reasoning of Perturbation Effects (2026)
  Dongkwan Kim et al.
  4.39
• RAG-GNN: Integrating Retrieved Knowledge with Graph Neural Networks for Precision Medicine (2026)
  Hasi Hays and William J. Richardson
  3.98
• Alz-QNet: A Quantum Regression Network for Studying Alzheimer's Gene Interactions (2025)
  Debanjan Konar and Neerav Sreekumar and Richard Jiang and Vaneet Aggarwal
  2.99
• Environmental and cell-cell signaling shape developmental trajectories across morphogenetic landscapes (2026)
  J. Hareesh et al.
  2.00
• GraphPINE: Graph Importance Propagation for Interpretable Drug Response Prediction (2026)
  Yoshitaka Inoue et al.
  1.94
• High-throughput prediction of protein–protein interactions uncovers hidden molecular networks in biosynthetic gene clusters (2026)
  Yoshitaka Moriwaki et al.
  1.94
• Amplification at Equilibrium: Structural and Thermodynamic Limitations, and Implementation (2026)
  Hamidreza Akef et al.
  1.83
• Convex Analysis of Relaxation Dynamics in Chemical Reaction Networks and Generalized Gradient Flows (2026)
  Keisuke Sugie et al.
  1.72
• Exact Discrete Stochastic Simulation with Deep-Learning-Scale Gradient Optimization (2026)
  Jose M. G. Vilar and Leonor Saiz
  1.72
• Gene regulatory network inference algorithm based on spectral signed directed graph convolution (2025)
  Rijie Xi et al.
  1.61
• Biological Regulatory Network Inference through Circular Causal Structure Learning (2025)
  Hongyang Jiang et al.
  1.56
• Inference of Regulatory Networks Through Temporally Sparse Data (2022)
  Mohammad Alali and Mahdi Imani
  —
• GraPhSyM: Graph Physical Synthesis Model (2023)
  Ahmed Agiza et al.
  —
• Two Novel Approaches to Detect Community: A Case Study of Omicron Lineage Variants PPI Network (2023)
  Mamata Das et al.
  —
• Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems (2023)
  Trang Nguyen et al.
  —
• Circuit design in biology and machine learning. I. Random networks and dimensional reduction (2024)
  Steven A. Frank
  —