sas statistical software package small molecule screen

Artificial intelligence is referred to as superset comprising machine learning, whereas machine learning comprises supervised learning, unsupervised learning, and reinforcement learning. With advancements in technology, computer-aided drug design integrating artificial intelligence algorithms can eliminate the challenges and hurdles of traditional drug design and development. Further, inefficiency, inaccurate target delivery, and inappropriate dosage are other hurdles that inhibit the process of drug delivery and development. The primary concern associated with drug design and development is time consumption and production cost. In summary, artificial intelligence and deep learning advancements provide an excellent opportunity for rational drug design and discovery process, which will eventually impact mankind. Moreover, novel data mining, curation, and management techniques provided critical support to recently developed modeling algorithms. Evidence from the past strengthens the implementation of artificial intelligence and deep learning in this field. Machine learning and deep learning algorithms have been implemented in several drug discovery processes such as peptide synthesis, structure-based virtual screening, ligand-based virtual screening, toxicity prediction, drug monitoring and release, pharmacophore modeling, quantitative structure–activity relationship, drug repositioning, polypharmacology, and physiochemical activity. In other words, artificial neural networks and deep learning algorithms have modernized the area. Artificial intelligence and machine learning technology play a crucial role in drug discovery and development. Further, complex and big data from genomics, proteomics, microarray data, and clinical trials also impose an obstacle in the drug discovery pipeline. However, low efficacy, off-target delivery, time consumption, and high cost impose a hurdle and challenges that impact drug design and discovery. Drug designing and development is an important area of research for pharmaceutical companies and chemical scientists.

Sas statistical software package small molecule screen