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Prediction and Designing of thermostable proteins with a desired melting temperature

INDUS-Retriever-small (previously nasa-smd-ibm-st.38m) is

protein sequence design in the context of small-molecule ligands

Large-scale biomolecular instruction dataset for chemistry/biology LLMs (ICLR2024)

Indus-Retriever (nasa-smd-ibm-st-v2) is a Bi

protein drug targets, fine-tuned from gbyuvd/chemselfies-base-bertmlm on a dataset

Resources on ChIP-seq data which include papers, methods, links

UNIX-style FASTA manipulation tools.

protein structure design with multi-motif scaffolding capabilities, achieving state

This model is deprecated. please use the updated sentence transformer

protein prediction data without requiring programming expertise. It processes .pkl, .json

3D Equivariant Diffusion for Target-Aware Molecule Generation (ICLR2023)

proteins in much the same way as PepMLM. It is meant

protein language model (pLM) which can translate between protein sequence

This model may be overfit to some extent (see below

proteins) for nucleotide or protein sequences. Pipeline that screens for presence

# DrugGPT A generative drug design model based on GPT2. ## 🚩 Introduction

[@crazyhottommy](https://github.com/crazyhottommy)'s notes on various steps and considerations

protein-coding transcript of a gene with or without its corresponding

Protein-Lipid Interaction Database. A large-scale experimentally validated dataset

protein-structure assessment, binding-site detection, molecular docking, molecular dynamics

protein sequence and NCBI taxonomy IDs (or RefSeq assembly accessions

protein-RNA binding with Deep Learning | This repository contains all DeepCLIP

protein structures by performing geometric matching of known enzyme catalytic

proteins or lipids from live-cell time-lapse fluorescent imaging

protein-protein interaction (PPI) networks by modeling them as bipartite

protein design and ligand screening by managing incompatible software environments

protein structures, enabling high-throughput computational studies of enzyme catalysis

protein sequences, enabling visualization and comparison of results onto phylogenetic

protein-peptide complexes. It helps characterize protein-peptide interactions critical

alignments between UniProt Knowledgebase sequences and Protein Data Bank structures.

protein structures. It combines statistical pLDDT score analysis with an interactive

protein sequences across the microbial tree of life using structural

protein structures and molecular dynamics trajectories. It calculates centrality measures

Protein-Protein Interactions (PPIs). It maps data from alternative splicing

protein- and metabolite-mediated cell-cell communication over time. It infers