ATHENA-R1: A Reinforcement Learning AI Agent for Smarter Drug and Treatment Decisions

ATHENA-R1: A Reinforcement Learning AI Agent for Smarter Drug and Treatment Decisions

Anchal Negi -
Sesame (Spatial Evoformer for a Structure-Aware Molecular Engine)

From Fragment to Drug Candidate: How Sesame Uses AI to Build Better Molecules

Anchal Negi -
Antimicrobial Resistance (AMR)

Can Machine Learning Forecast Antibiotic Resistance Trends Across the Globe?

Saniya Sayyed -
From Natural Language to Biological Design: How Proto Powers Generative Biology

From Natural Language to Biological Design: How Proto Powers Generative Biology

Anchal Negi -
Genesis AI - DeCAF

DECAF: Genesis AI-Based Framework for Faster and Computationally Efficient All-Atom Protein Cofolding

Saniya Sayyed -
PPIscreenML

PPIscreenML: A Rigorous Machine Learning Approach to Screening Protein-Protein Interactions with AF2

Anchal Negi -
FrustrAI-Seq

Meet FrustrAI-Seq: Proteome-Wide Frustration Profiling Without Structural Inputs

Anchal Negi -
PlotGDP

What If an AI Agent Could Handle All Your Bioinformatics Plots? Meet PlotGDP

Saniya Sayyed -
ROCKET

ROCKET Transforms AlphaFold2 into an Experiment-Driven Structure Modeling Tool

Saniya Sayyed -
Overview of CLASSIC

Scientists Introduce ‘CLASSIC’ Platform Enabling AI-Driven Genetic Circuit Design

Jainab Shaikh -
IntelliFold-2: An Open Source Alternative to AlphaFold 3 With Better Accuracy and Robustness

IntelliFold-2: An Open Source Alternative to AlphaFold 3 With Better Accuracy and Robustness

Saniya Sayyed -
RFdiffusion3.

Transforming All-Atom De Novo Design of Protein Using RFdiffusion3

Saniya Sayyed -
Diverse model landscape

MHub.ai: Standardizing AI for Reproducible Medical Imaging

Saniya Sayyed -
Joint training of ConGLUDe on structure- and ligandbased data

ConGLUDe: Toward General-Purpose Foundation Models for Drug Discovery

Jainab Shaikh -
DrugCLIP

DrugCLIP Enables High-Throughput Virtual Screening Across the Human Proteome

Saniya Sayyed -
FoldMason

Beyond the Sequence: How FoldMason is Redefining Multiple Protein Structure Alignment at Scale

Saniya Sayyed -
BindEvaluator and moPPIt

De Novo Peptide Binder Generation: How moPPIt Targets ‘Undruggable’ Proteins

Saniya Sayyed -
DNA-Diffusion

Generating DNA Sequences Using AI: DNA-Diffusion Promises Effective Gene Therapy

Saniya Sayyed -
PanMAN

PanMAN Enables Scalable High-Resolution Pangenome Analysis

Saniya Sayyed -
CleaveNet

CleaveNet Enables Scalable and Targeted Protease Substrate Design for Diagnostics and Therapeutics

Saniya Sayyed -
PeptiVerse

Advancing Peptide Therapeutics with PeptiVerse’s Unified Prediction Framework

Jainab Shaikh -
Human Genome in 4D

Human Genome in 4D: Mapping Structure, Function, and Dynamics

Anchal Negi -
SMRTnet

Beyond Tertiary Structures: SMRTnet’s Novel Approach to RNA Drug Discovery

Jainab Shaikh -
ColabPCR

CoLabPCR: A One-stop Tool for Precise and Reproducible Primer Design

Jainab Shaikh -
Variant-to-Phenotype (V2P)

From Variant to Disease: How V2P Improves Phenotype-Aware Pathogenicity Prediction

Saniya Sayyed -
R2G2

R2G2: Letting Bioconductor Fly in Galaxy Workflows

Anchal Negi -
BoltzGen

Designing Protein Binders with BoltzGen: A Unified Generative Approach

Saniya Sayyed -
DeepSomatic

DeepSomatic: Redefining Somatic Variant Detection in the Genomic Sequencing Era

Jainab Shaikh -
Overview of SPURS (stability prediction using a rewired strategy)

How SPURS Unlocks Scalable and Accurate Protein Stability Prediction

Anchal Negi -
Placing Every Atom Right: PEARL's Deep Learning Approach to Drug Discovery

Placing Every Atom Right: PEARL’s Deep Learning Approach to Drug Discovery

Anchal Negi -
Agentic AI Meets RNA‑seq: A New Co‑Pilot For Downstream Analysis

Agentic AI Meets RNA‑seq: A New Co‑Pilot For Downstream Analysis

Anchal Negi -
Minimal Data, Maximal Impact: The Future of Peptide Design with MDMI

Minimal Data, Maximal Impact: The Future of Peptide Design with MDMI

Deotima Chakraborty -
Can Machine Learning Finally Crack the Protein Expression Code?

Can Machine Learning Finally Crack the Protein Expression Code?

Anchal Negi -
AlphaGenome

AlphaGenome: DeepMind’s New AI Model for Unlocking Genome Function

Anchal Negi -
From Boltz-1 to Boltz-2: Did We Finally Bridge the Gap Between Structure and Affinity?

From Boltz-1 to Boltz-2: Did We Finally Bridge the Gap Between Structure and Affinity?

Deotima Chakraborty -
D-I-TASSER Outperforms AlphaFold? A New Frontier in Protein Structure Modeling

D-I-TASSER Outperforms AlphaFold? A New Frontier in Protein Structure Modeling

Deotima Chakraborty -
Unlocking Biomolecular Secrets with AF3Score: A Leap Forward in Structural Evaluation

Unlocking Biomolecular Secrets with AF3Score: A Leap Forward in Structural Evaluation

Anchal Negi -
Overlapping Genes, Unfolding Insights: Synthetic Biology Meets AI

Overlapping Genes, Unfolding Insights: Synthetic Biology Meets AI

Deotima Chakraborty -
PhysDock: A New Era in Protein-Ligand Docking with AI and Physics

PhysDock: A New Era in Protein-Ligand Docking with AI and Physics

Anchal Negi -
Advancing Enzyme Design: RFdiffusion2 Enables Atomic-Level Scaffold Generation

Advancing Enzyme Design: RFdiffusion2 Enables Atomic-Level Scaffold Generation

Deotima Chakraborty -
Building Better Models: How AI and Experimentation Shape GPCR Research in AlphaFold Era

Building Better Models: How AI and Experimentation Shape GPCR Research in AlphaFold Era

Deotima Chakraborty -
Fast, Accurate, and Flexible: How FLOWR is Transforming Molecular Design

Fast, Accurate, and Flexible: How FLOWR is Transforming Molecular Design

Anchal Negi -
Designer Miniproteins: New Frontier in GPCR-Targeted Drug Development

Designer Miniproteins: New Frontier in GPCR-Targeted Drug Development

Deotima Chakraborty -
Meet AgentRxiv: A Collaborative Framework for AI Research Agents to Accelerate Discovery

Meet AgentRxiv: A Collaborative Framework for AI Research Agents to Accelerate Discovery

Deotima Chakraborty -
MolAI: The Deep Learning Model Transforming Molecular Descriptor Generation

MolAI: The Deep Learning Model Transforming Molecular Descriptor Generation

Anchal Negi -
Dyna-1: Unraveling Protein Dynamics with Deep Learning and NMR Data

Dyna-1: Unraveling Protein Dynamics with Deep Learning and NMR Data

Deotima Chakraborty -
A New Roadmap for Precision Medicine: Overcoming Challenges with Post-Genomic Data

A New Roadmap for Precision Medicine: Overcoming Challenges with Post-Genomic Data

Anchal Negi -
Lyra: A Revolutionary AI Model for Biological Sequence Modeling

Lyra: A Revolutionary AI Model for Biological Sequence Modeling

Anchal Negi -
Human LUC7 proteins impact 5′ splice sites with distinct composition.

How LUC7 Protein Family Members Differentially Regulate mRNA Splicing in Cancer

Deotima Chakraborty -
UNC Researchers Unveil DELi, a Powerful Open-Source Tool for DNA-Encoded Library Informatics

UNC Researchers Unveil DELi, a Powerful Open-Source Tool for DNA-Encoded Library Informatics

Anchal Negi -

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