AI-powered antibody generation with AbGPT

Antibody epitope mapping with AbMAP

ADAPT: AI-guided antigen-receptor design against peptide-MHC

AntiFold for antibody inverse folding and design

ImmuneBuilder: predict antibody and TCR structures fast

AF2BIND: predict ligand binding sites with AlphaFold2

ESMFold fast structure prediction — no MSA required

OpenFold3: open-source AlphaFold3 alternative

BindCraft: design protein binders with AI

mBER: manifold binder engineering and refinement

Score and rank protein variants with AI

ProteusAI for automated protein engineering campaigns

Design bioactive peptides with RFpeptides

SaProt: structure-aware protein language model

EquiBind: fast protein-ligand binding pose prediction

QuickVina 2 docking at scale with Drylab

TankBind: trigonometry-aware drug-protein binding prediction

GPUMD: fast GPU molecular dynamics without HPC

Run LAMMPS MD simulations with AI-assisted setup

Tinker: molecular modelling and dynamics in the cloud

BCFtools variant analysis: from VCF to insights automatically

Longshot: accurate SNP calling from long-read sequencing

Sniffles: structural variant detection from long reads

Flye vs Hifiasm: which long-read assembler should you use?

NextDenovo: assemble large genomes from long reads

Trinity: de novo transcriptome assembly without a reference

WTDBG2: ultra-fast long-read genome assembly in the cloud

Kallisto GPU: 10x faster RNA-seq quantification

StringTie: transcript assembly and quantification explained

scGPT: the single-cell foundation model explained

SpatialPPIv2: spatial protein-protein interaction analysis

Medaka: polish Nanopore assemblies to near-perfect accuracy

Aggrescan3D: predict and reduce protein aggregation

RiboDiffusion: diffusion-based RNA tertiary structure design

Uni-Mol: universal 3D molecular representation learning

Using AbLang for antibody sequence optimisation

AbMPNN for antibody CDR design automation

ANARCI antibody numbering in one click

Rank antibody-antigen complexes with DeepRank-Ab

RFantibody: diffusion-based antibody design with Drylab

Boltz2 vs AlphaFold: next-gen structure prediction

IntelliFold: universal protein folding with AI

RhoFold: predict RNA tertiary structure with deep learning

Profluent E1: AI-generated gene editors

Protein Gibbs sampler for sequence diversity exploration

ProteinMPNN: AI sequence design from protein backbone

PXDesign: de novo protein design in the cloud

RhoDesign: AI-based RNA sequence design

DiffDock: diffusion-based molecular docking explained

FlowDock: flow matching for protein-ligand docking

rDock: high-throughput virtual screening in the cloud

Uni-Mol Docking V2: ML-based binding pose prediction

Run GROMACS simulations without a supercomputer

Molly.jl: molecular dynamics in Julia made easy

Tinker9: GPU-accelerated molecular dynamics simulations

Clair3: AI variant calling for long-read sequencing data

NanoCaller: deep learning variant calling for Nanopore data

Strelka2: germline and somatic variant calling pipeline

Hifiasm genome assembly with HiFi reads — a complete guide

Raven: fast Nanopore genome assembly explained

Unicycler hybrid assembly: combining short and long reads

HISAT2 RNA-seq alignment: a step-by-step guide with Drylab

Salmon vs Kallisto: which RNA-seq quantifier to choose?

TranscriptFormer: predict gene expression with transformers

scPRINT: large language model for single-cell biology

Universal Cell Embeddings: cross-dataset cell representation

Minimap2: long-read alignment for Nanopore and PacBio data

AllMetal3D: predict metal ion binding sites in proteins

RNAPro: predict RNA-protein interactions with AI

AbLang-MPNN: combining language models and protein design

Predict antibody 3D structure with ABodyBuilder3

AntiBERTy: BERT language model for antibody sequences

IgDesign: AI-designed immunoglobulins from scratch

Predict T-cell receptor structure with TCRmodel2

Chai-1: multimeric protein structure prediction explained

OmegaFold: sequence-only protein folding at scale

RosettaFold3 in Drylab: no setup, no GPU required

EvoEF2: predict and optimise protein stability

Protein Hunter: AI-guided protein candidate discovery

ProteinX: multi-objective protein design with AI

RFdiffusion3: diffusion-based de novo protein design

Roshambo: evaluate and rank protein designs automatically

DockQ: assess protein docking quality automatically

Pocket2Mol: generate molecules for any binding pocket

SurfDock: surface-aware protein-ligand docking

gmx_MMPBSA: end-state free energy calculations explained

HOOMD-blue: GPU-accelerated particle simulations in the cloud

OpenMM molecular simulations: no local GPU required

UAMMD: GPU-accelerated mesoscale simulations with Drylab

FreeBayes variant calling without a local compute cluster

PEPPER-DeepVariant: accurate long-read variant calling at scale

VariantFormer: transformer-based variant effect prediction

MEGAHIT metagenome assembly: fast, memory-efficient, AI-ready

SPAdes genome assembly: short and hybrid reads made easy

Verkko: telomere-to-telomere genome assembly with AI

Kallisto: fast RNA-seq quantification without alignment

STAR aligner: fast splice-aware RNA-seq alignment

rapids_singlecell: 10x faster scRNA-seq analysis with GPU

scvi-tools: probabilistic single-cell data integration

Dorado basecalling: the fastest way to process Nanopore reads

MultiQC: automated sequencing QC reports in one click

AlphaGenome: AI predictions of genomic function

Sei: predict regulatory sequence function from DNA