Drug Discovery Pipeline · 2025

12 programs. 9 targets. 8 patents. 2 clinical studies.

A validated pipeline of small-molecule programs discovered with MetaScreener and our in-house HPC infrastructure — covering oncology, metabolism, inflammation and drug-resistance indications.

12
Drug programs
9
Validated targets
8
Patents filed or licensed
2
Clinical studies started
3 nM
Best activity (DDR1)

About MetaScreener

The engine behind the pipeline — an in-house suite for virtual screening on supercomputers.

MetaScreener (MS) is a multi-language suite (Shell, Python, Java, C) that orchestrates large-scale computational drug-discovery campaigns on HPC infrastructures.

It integrates multiple methods, dispatches jobs through parallel task scheduling, and automatically post-processes results into ranked tables, graphs and PyMOL sessions:

  • Molecular docking
  • Pharmacophore screening
  • Molecular modelling
  • Consensus aggregation across methods

Open source: github.com/bio-hpc/metascreener

MetaScreener workflow

1
Input data
Query · technique · software · parameters
2
Preparations
Format conversion · parallel scheduling · energy grids
3
Parallel HPC execution
Job 1 … Job N on supercomputing resources
4
Analysis
PyMOL sessions · PLIP interactions · Posview graphs · clustering
5
Output
JSON summary · ranked molecules · CSV / XLS
Consensus moduleAggregates results from multiple VS methods into an ordered summary of top-ranking compounds.

Pipeline 2025

Selected programs discovered with MetaScreener — activity, development stage and IP status. Selected highlights; many additional success stories not listed here.

Target Compound type / MoA Activity In silico In vitro In vivo Clinical IP status
Fascin FDA · Imipramine 20 µM Started Murcia 2022 Patent licensed 2023
open to new licensing
Fascin FDA · Raltegravir 20 µM Requested Patent granted
Fascin Novel Chemical Entity 20 µM In progress Requested Patent filed
Hepsin FDA · Venetoclax 1 µM Requested Patent granted
Hepsin FDA · Suramin 1 µM Requested Patent granted
PAD4 FDA · Gilteritinib 1 µM In progress Requested Patent filed
Wee1 Novel Chemical Entity 20 nM
p38α Novel Chemical Entity 26 nM
DDR1 Novel Chemical Entity 3 nM
human sEH Novel Chemical Entity 100 nM In progress In patent-filing process
ABCC3 Novel Chemical Entity 1 µM
Pancreatic lipase Natural · Silibinin Similar to orlistat Started Murcia 2023 Patent granted
Completed stage Not yet started Bold teal = Novel Chemical Entity FDA = repurposed FDA-approved drug

Selected case studies

Three representative programs from the pipeline — from repurposing wins to nanomolar novel chemical entities.

Repurposing · Patent licensed

Fascin inhibitors — colorectal cancer metastasis

Structure-based discovery of the FDA-approved antidepressant imipramine and the antiviral raltegravir as potent Fascin1 inhibitors that block invasion of colorectal tumour cells in vitro and in vivo. Patent licensed; clinical study started in Murcia (2022).

DOI 10.3390/cancers13040861 →
Natural product · Clinical study

Silibinin — pancreatic lipase inhibitor

Identification of the thistle-milk component silibinin as a potent inhibitor of pancreatic lipase (profile similar to orlistat), with potential implications on weight loss. Patent filed; clinical study started in Murcia (2023).

DOI 10.1016/j.jff.2021.104479 →
Target-based programs

Hepsin · PAD4 · Wee1 · DDR1 · p38α · sEH · ABCC3

Multiple programs delivering novel chemical entities with activities as low as 3 nM (DDR1) and 20 nM (Wee1). Six patents filed or in preparation, covering indications in oncology, immunology, inflammation, metabolism and drug-resistance mechanisms.

Partner with us

We are actively seeking biotech and pharmaceutical partners across three tracks:

Licensing

Patents available for licensing or sub-licensing across multiple targets and indications.

Co-development

Joint pre-clinical and clinical development of novel chemical entities with nanomolar activities.

Clinical-trial investment

Investment opportunities for ongoing clinical studies in colorectal cancer and weight-loss.

Contact: Prof. Horacio Pérez-Sánchez · hperez@ucam.edu

Acknowledgments & funding — European Project Horizon 2020 SC1-BHC-02-2019 [REVERT, ID: 848098] · Fundación Séneca, CCIRM [20988/PI/18] · Ministerio de Ciencia e Innovación · Supercomputing resources: BSC (Spain), NLHPC (Chile), PSNC (Poland).

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