Artificial intelligence: Machine learning approach for screening large database and drug discovery.

Recent research in drug discovery dealing with many faces difficulties, including development of new drugs during disease outbreak and drug resistance due to rapidly accumulating mutations. Virtual screening is the most widely used method in computer aided drug discovery. It has a prominent ability in screening drug targets from large molecular databases.

Acalabrutinib as a novel hope for the treatment of breast and lung cancer: an in-silico proof of concept.

Drug repurposing is proved to be a groundbreaking concept in the field of cancer research, accelerating the pace of drug discovery by investigating the anti-cancer activity of the already approved drugs. On the other hand, it got highly benefitted from the advancement in the tools and techniques, which are used to build up the initial "proof of concept" based on the drug-target interaction. Acalabrutinib (ACL) is a well-known drug for the treatment of hematological malignancies.

Applications of lipid-engineered nanoplatforms in the delivery of various cancer therapeutics to surmount breast cancer.

Breast cancer (BC) is the most extensively accounted malignancy among the women across the globe and is treatable in 70-80% of patients with early-stage, non-metastatic cancer. The current available therapies have been found to be less effective to treat distant organ metastases and advanced breast cancers. The clinical efficacy hugely suffers from chemoresistance, non-specific toxicity, relapse and other associated adverse effects.