Results for “protein-modeling”
18 skillsdiffdock
Predict 3D binding poses of small molecule ligands to protein targets using diffusion-based molecular docking, supporting single complexes, batch processing, and virtual screening.
30.2k · bundle
advanced-optics-modeling
Advanced Optics Modeling Skill
1 · bundle
lora-low-rank-adaptation-of-large-language-models-arxiv-2106
LoRA: Low-Rank Adaptation of Large Language Models
6
glycoengineering
Analyze and engineer protein glycosylation by scanning sequences for N-glycosylation sequons, predicting O-glycosylation hotspots, and accessing curated glycoengineering tools for therapeutic antibody optimization and vaccine design.
30.2k · bundle
acoustics-based-modeling
Acoustics Based Modeling Skill
1 · bundle
botany-based-modeling
Botany Based Modeling Skill
1 · bundle
hmmscan
Use when searching protein sequences against profile hidden Markov models (HMMs) such as Pfam or other HMM databases.
0 · bundle
phmmer
Use when searching one or more protein query sequences against a protein sequence database with HMMER's one-pass sequence-vs-sequence searcher.
0 · bundle
applied-botany-modeling
Applied Botany Modeling Skill
1 · bundle
botany-modeling-expert
Botany Modeling Expert Skill
1 · bundle
cobrapy
Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis.
3 · bundle
matchms
Spectral similarity and compound identification for metabolomics. Use for comparing mass spectra, computing similarity scores (cosine, modified cosine), and identifying unknown compounds from spectral libraries. Best for metabolite identification, spectral matching, library searching. For full LC-MS/MS proteomics pipelines use pyopenms.
3 · bundle
cobrapy
Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis.
5 · bundle
big-data-based-modeling
Big Data Based Modeling Skill
1 · bundle
applied-optics-modeling
Applied Optics Modeling Skill
1 · bundle
scaling-data-constrained-language-models-arxiv-2305-16264v3
Scaling Data-Constrained Language Models
6
parameter-scaling
MaxFuse parameter tuning when protein panel size changes (26 → 59+ markers)
3
alterlab-pyopenms
Build complete mass-spectrometry workflows with pyOpenMS — feature detection, peptide identification, protein quantification, and full LC-MS/MS pipelines across many MS file formats (mzML, mzXML) and algorithms. Use for comprehensive proteomics and MS data processing — for simple spectral comparison and metabolite identification use matchms. Part of the AlterLab Academic Skills suite.
60 · bundle