Vecura

An agentic AI platform for molecular discovery and life science research

[Vecura @vecuradotcom]

📢 Monocle 3 is now available on Vecura! 🧬

Order cells along a trajectory. Let Vee show you how to run Monocle 3 on Vecura in under a minute.

▶ Try it: https://t.co/ZWNkrTefn3

#Monocle3 #Vecura #SingleCell #scRNAseq #AIforScience #NYBAI

[Vecura @vecuradotcom]

📢 MACS3 is now available on Vecura! 🧬

Call ChIP-seq and ATAC-seq peaks. Let Vee show you how to run MACS3 on Vecura in under a minute.

▶ Try it: https://t.co/gHrbhId8iW

#MACS3 #Vecura #ChIPseq #ATACseq #AIforScience #NYBAI

[Vecura @vecuradotcom]

📢 clusterProfiler is now available on Vecura! 🧬

Turn gene lists into biology. Let Vee show you how to run clusterProfiler on Vecura in under a minute.

▶ Try it: https://t.co/4d4KTDx4ra

#clusterProfiler #Vecura #GeneSetEnrichment #AIforScience #NYBAI

[Vecura @vecuradotcom]

📢 RFD4-Proteina is now available on Vecura! 🧬

Design new protein structures with generative AI. Let Vee show you how to run RFD4-Proteina on Vecura in under a minute.

▶ Try it: https://t.co/Qbi6povUmO

#RFD4Proteina #Vecura #ProteinDesign #AIforScience #NYBAI

[Vecura @vecuradotcom]

📢 ANARCII is now available on Vecura! 🧬

Number any antibody, any scheme. Let Vee show you how to run ANARCII on Vecura in under a minute.

▶ Try it: https://t.co/XRTdUprn3M

#ANARCII #Vecura #Antibody #AIforScience #NYBAI

[Vecura @vecuradotcom]

📢 BioEmu 2 is now available on Vecura! 🧬

Generate the 3D shapes a protein can take from its sequence. Let Vee show you how in under a minute.

▶ Try it: https://t.co/Kmqh4TIm60

#BioEmu #Vecura #AIforScience #NYBAI

[Vecura @vecuradotcom]

Vecura now support #CANYA

CANYA (Convolution-Attention Neural Network for Amyloid prediction) is a deep learning model that predicts amyloid nucleation propensity
Read more at: https://t.co/ea1u3Wn8Ah

[Vecura @vecuradotcom]

Vecura now support #iChem
Ichem is a high-performance cheminformatics package developed by the Miranda-Quintana group at the University of Florida that implements instantaneous similarity (iSIM) to analyze compound sets.
Read more at: https://t.co/wGKnxtuCJp

[Vecura @vecuradotcom]

Vecura now support: #ThompsonSamplingforVirtualScreening
Thompson Sampling for Virtual Screening is an active-learning algorithm. Read more at:https://t.co/F74XgoNPJ4

[Vecura @vecuradotcom]

Vecura now support: #pySCA
pySCA (Statistical Coupling Analysis) is a Python 3 toolkit that extracts evolutionary constraints from protein family multiple sequence alignments (MSAs). Read more at: https://t.co/9bvvqboMkL...

[Vecura @vecuradotcom]

Vecura now support #AlphaFold2-RAVE
AlphaFold2-RAVE is a sophisticated computational method.
Read more in the Vecura blog: https://t.co/7J5zM8TmLQ

[Vecura @vecuradotcom]

Vecura now support #ITsFlexible
ITsFlexible is an equivariant graph neural network (EGNN) binary classifier designed to predict the conformational flexibility of antibody and TCR CDR3 loops Read more at: https://t.co/wNli1xRsVI

[Vecura @vecuradotcom]

Vecura now support #Salmon
Salmon is a widely-adopted, high-performance tool developed by the COMBINE-lab for transcript-level quantification of RNA-seq data.
Read more at: https://t.co/bgPZISjzmL

[Vecura @vecuradotcom]

Vecura now support #MAFFT

MAFFT (Multiple Alignment using Fast Fourier Transform) is a fast and accurate multiple sequence alignment program.
Read more at: https://t.co/M0UeaKHdgE

[Vecura @vecuradotcom]

Vecura now support #ProGen2

ProGen2 is a suite of autoregressive transformer-based protein language models developed by Salesforce Research, ranging from 151 million to 6.4 billion parameters.
Read more on: https://t.co/mWTzeJNUI6

[Vecura @vecuradotcom]

Vecura now support #GEMS

GEMS (GNN for Efficient Molecular Scoring) is an advanced graph neural network designed to predict protein-ligand binding affinity directly from 3D structural data. Read more on: https://t.co/t7TQgOyqWS

[Vecura @vecuradotcom]

Vecura now support #Evo2

Evo 2 is a state-of-the-art foundation model for DNA, designed for genomic-scale modeling at single-nucleotide resolution.
Read more on: https://t.co/bEmeMIqA40...

[Vecura @vecuradotcom]

Vecura now support #BALM

BALM (Binding Affinity Language Models) is a structure-free deep-learning framework designed to predict protein-ligand binding affinity (pKd) directly from protein amino acid sequences and drug SMILES strings.
Read more on: https://t.co/4tUnvGT3qN

[Vecura @vecuradotcom]

Vecura now support #APM

APM (All-Atom Generative Model for Designing Protein Complexes) is an advanced flow-based generative model developed by ByteDance Research and published at ICML 2025.
Read more: https://t.co/TEL4SpGz1h

[Vecura @vecuradotcom]

Vecura now support #TemStaPro

TemStaPro (Temperatures of Stability for Proteins) is a computational tool designed to predict protein thermostability directly from amino acid sequences.
Read more at: https://t.co/05mAKeJH1V