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Five candidates. All target-to-lead in silico.

Every program began with a validated protein target. None required wet-lab synthesis to reach IND-enabling stage.

Five programs. Two at IND-enabling stage.

Candidate Target Mechanism Indication Stage Status
MNS-0041 KRAS G12C Covalent inhibitor, GDP-pocket Non-small cell lung cancer IND-ready IND-enabling studies
MNS-0073 NLRP3 inflammasome NLRP3 ATPase inhibitor Neuroinflammation / ALS Lead optimization SAR expansion
MNS-0119 DHODH Mitochondrial DHODH inhibitor Autoimmune (RA/lupus) IND-ready IND-enabling studies
MNS-0152 PRMT5 SAM-competitive methyltransferase inhibitor Diffuse large B-cell lymphoma Hit-to-lead In progress
MNS-0187 TEAD1-4 (YAP/TAZ pathway) TEAD palmitoylation pocket binder Mesothelioma / solid tumors Hit identification Active screening

MNS-0152 and MNS-0187 target/mechanism shown; structures undisclosed.

Hit Identification

In silico screening of target against chemical space; top-ranked hits selected by binding score + ADMET pass.

Hit-to-Lead

SAR modeling, scaffold optimization, selectivity improvement — all computationally.

Lead Optimization

Potency, selectivity, and ADMET co-optimization. Synthetic accessibility scoring gates candidate feasibility.

IND-ready

Candidate meets pre-specified potency, selectivity, and ADMET thresholds. Wet-lab IND-enabling studies initiated.

Two paths: your target or ours.

Manas AI works with pharma R&D groups and biotech discovery teams through two models. Fee-for-service campaigns: you bring a validated target, we return a ranked candidate dossier with full in silico rationale within 48–72 hours. Co-development: we contribute our in-house pipeline candidates under milestone + royalty terms. Both paths begin with a 45-minute scoping call — no NDA required for initial discussion.

Scientist reviewing drug pipeline data with industry partner in a conference setting