wemol-cliv1.0.0

A biotech researcher needs to design and optimize antibody sequences for a new therapeutic candidate. They use wemol-cli to search for antibody-specific modules, inspect input schemas for humanization or affinity maturation workflows, submit jobs to run simulations, and track progress to obtain optimized sequences and immunogenicity predictions.

A medicinal chemist aims to identify potential drug leads by screening compound libraries against a target protein. They use wemol-cli to discover virtual screening modules, fetch exact parameter requirements for docking simulations, submit batch jobs to evaluate thousands of compounds, and download results to analyze binding affinities and ADMET properties.

A university researcher is studying a novel protein's function and requires its 3D structure. They use wemol-cli to search for structure prediction modules, retrieve input schemas to specify sequence data, submit a job for AI-based folding, and monitor execution to obtain predicted models and confidence scores for further analysis.

A drug safety scientist needs to evaluate the absorption, distribution, metabolism, excretion, and toxicity of new chemical entities. They use wemol-cli to find ADMET prediction modules, inspect parameters for inputting molecular structures, submit jobs to generate toxicity profiles, and diagnose outputs to inform go/no-go decisions in early development.

A materials scientist is designing new polymers or nanomaterials and requires molecular dynamics simulations. They use wemol-cli to discover simulation modules, check language settings for documentation, submit jobs with specific force field parameters, and track tasks to download trajectory files for analysis of properties like stability and interactions.

Wemol offers a cloud-based platform where users pay recurring fees for access to its integrated biology, AI, and chemistry modules. Revenue is generated through tiered subscriptions based on usage limits, such as compute hours or job submissions, catering to academic labs, startups, and large pharmaceutical companies needing scalable workflow solutions.

Users are charged based on the computational resources consumed per job, such as virtual screening or molecular simulation tasks. This model allows flexibility for sporadic users or projects with variable workloads, with revenue derived from direct billing for CPU/GPU time, storage, and data transfer associated with each submitted job.

Large organizations, such as pharmaceutical giants, purchase enterprise licenses for unlimited access to Wemol's modules and flows, including custom integrations with internal systems. Revenue comes from upfront licensing fees, annual maintenance contracts, and additional charges for tailored support, training, and workflow development to meet specific R&D needs.